├── AES.ipynb
├── A_Comparative_Analysis_of_Cryptographic_Algorithms.pdf
├── Caesar_cipher.ipynb
├── Crypto_report.xlsx
├── Cryptography_EDA.ipynb
├── DES.ipynb
├── DH.ipynb
├── Estimation.xlsx
├── One_time_pad.ipynb
├── README.md
├── RSA.ipynb
├── Report.txt
└── Vigenere_cipher.ipynb


/AES.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "id": "6e7be000",
  7 |    "metadata": {},
  8 |    "outputs": [
  9 |     {
 10 |      "name": "stdout",
 11 |      "output_type": "stream",
 12 |      "text": [
 13 |       "Requirement already satisfied: PyCryptor in c:\\users\\dheer\\anaconda3\\lib\\site-packages (0.1.3)\n",
 14 |       "Requirement already satisfied: pycryptodome in c:\\users\\dheer\\anaconda3\\lib\\site-packages (from PyCryptor) (3.17)\n",
 15 |       "Requirement already satisfied: rich in c:\\users\\dheer\\anaconda3\\lib\\site-packages (from PyCryptor) (13.3.3)\n",
 16 |       "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in c:\\users\\dheer\\anaconda3\\lib\\site-packages (from rich->PyCryptor) (2.14.0)\n",
 17 |       "Requirement already satisfied: markdown-it-py<3.0.0,>=2.2.0 in c:\\users\\dheer\\anaconda3\\lib\\site-packages (from rich->PyCryptor) (2.2.0)\n",
 18 |       "Requirement already satisfied: mdurl~=0.1 in c:\\users\\dheer\\anaconda3\\lib\\site-packages (from markdown-it-py<3.0.0,>=2.2.0->rich->PyCryptor) (0.1.2)\n"
 19 |      ]
 20 |     }
 21 |    ],
 22 |    "source": [
 23 |     "!pip install PyCryptor"
 24 |    ]
 25 |   },
 26 |   {
 27 |    "cell_type": "code",
 28 |    "execution_count": 8,
 29 |    "id": "e959609e",
 30 |    "metadata": {},
 31 |    "outputs": [
 32 |     {
 33 |      "name": "stdout",
 34 |      "output_type": "stream",
 35 |      "text": [
 36 |       "0.00\n",
 37 |       "0.00\n",
 38 |       "0.00\n",
 39 |       "0.00\n",
 40 |       "0.00\n",
 41 |       "0.00\n",
 42 |       "0.00\n",
 43 |       "0.00\n",
 44 |       "0.00\n",
 45 |       "9.36\n",
 46 |       "0.50\n",
 47 |       "0.57\n",
 48 |       "0.51\n",
 49 |       "1.13\n",
 50 |       "0.00\n",
 51 |       "0.00\n",
 52 |       "1.40\n",
 53 |       "0.00\n",
 54 |       "1.09\n",
 55 |       "0.00\n",
 56 |       "0.00\n",
 57 |       "1.10\n",
 58 |       "0.00\n",
 59 |       "1.11\n",
 60 |       "0.00\n",
 61 |       "0.00\n",
 62 |       "1.10\n",
 63 |       "1.06\n",
 64 |       "0.00\n",
 65 |       "0.00\n",
 66 |       "0.00\n",
 67 |       "0.00\n",
 68 |       "0.00\n",
 69 |       "0.00\n",
 70 |       "0.00\n",
 71 |       "0.00\n",
 72 |       "0.00\n",
 73 |       "0.00\n",
 74 |       "0.00\n",
 75 |       "0.00\n",
 76 |       "0.00\n",
 77 |       "0.00\n",
 78 |       "0.00\n",
 79 |       "0.00\n",
 80 |       "0.00\n",
 81 |       "0.00\n",
 82 |       "0.00\n",
 83 |       "15.63\n",
 84 |       "0.00\n",
 85 |       "0.00\n",
 86 |       "0.00\n",
 87 |       "0.00\n",
 88 |       "0.00\n",
 89 |       "0.00\n",
 90 |       "0.00\n",
 91 |       "0.00\n",
 92 |       "0.00\n",
 93 |       "0.00\n",
 94 |       "0.00\n",
 95 |       "0.00\n",
 96 |       "0.00\n",
 97 |       "0.00\n",
 98 |       "0.00\n",
 99 |       "0.00\n",
100 |       "15.70\n",
101 |       "0.00\n",
102 |       "0.00\n",
103 |       "0.00\n",
104 |       "0.00\n",
105 |       "0.00\n",
106 |       "0.00\n",
107 |       "0.00\n",
108 |       "0.00\n",
109 |       "0.00\n",
110 |       "0.00\n",
111 |       "0.00\n",
112 |       "0.00\n",
113 |       "15.62\n",
114 |       "0.00\n",
115 |       "0.00\n",
116 |       "0.00\n",
117 |       "0.00\n",
118 |       "0.00\n",
119 |       "0.00\n",
120 |       "0.00\n",
121 |       "0.00\n",
122 |       "15.62\n",
123 |       "0.00\n",
124 |       "0.00\n",
125 |       "0.00\n",
126 |       "6.59\n",
127 |       "0.00\n",
128 |       "0.00\n",
129 |       "0.00\n",
130 |       "0.00\n",
131 |       "0.00\n",
132 |       "0.00\n",
133 |       "0.00\n",
134 |       "0.00\n",
135 |       "0.00\n",
136 |       "15.71\n",
137 |       "0.00\n",
138 |       "0.00\n",
139 |       "0.00\n",
140 |       "0.00\n",
141 |       "0.00\n",
142 |       "0.00\n",
143 |       "0.00\n",
144 |       "15.62\n",
145 |       "0.00\n",
146 |       "0.00\n",
147 |       "0.00\n",
148 |       "0.00\n",
149 |       "0.00\n",
150 |       "0.00\n",
151 |       "0.00\n",
152 |       "15.55\n",
153 |       "0.00\n",
154 |       "0.00\n",
155 |       "0.00\n",
156 |       "0.00\n",
157 |       "0.00\n",
158 |       "0.00\n",
159 |       "0.00\n",
160 |       "15.71\n",
161 |       "0.00\n",
162 |       "0.00\n",
163 |       "0.00\n",
164 |       "15.62\n",
165 |       "0.00\n",
166 |       "0.00\n",
167 |       "0.00\n",
168 |       "0.00\n",
169 |       "0.00\n",
170 |       "15.61\n",
171 |       "0.00\n",
172 |       "0.00\n",
173 |       "6.59\n",
174 |       "0.00\n",
175 |       "0.00\n",
176 |       "0.00\n",
177 |       "0.00\n",
178 |       "0.00\n",
179 |       "15.71\n",
180 |       "0.00\n",
181 |       "0.00\n",
182 |       "0.00\n",
183 |       "0.00\n",
184 |       "0.00\n",
185 |       "15.62\n",
186 |       "0.00\n",
187 |       "0.00\n",
188 |       "15.55\n",
189 |       "0.00\n",
190 |       "0.00\n",
191 |       "0.00\n",
192 |       "0.00\n",
193 |       "0.00\n",
194 |       "15.66\n",
195 |       "0.00\n",
196 |       "0.00\n",
197 |       "0.00\n",
198 |       "0.00\n",
199 |       "15.68\n",
200 |       "0.00\n",
201 |       "0.00\n",
202 |       "0.00\n",
203 |       "0.00\n",
204 |       "15.62\n",
205 |       "0.00\n",
206 |       "6.51\n",
207 |       "0.00\n",
208 |       "0.00\n",
209 |       "0.00\n",
210 |       "0.00\n",
211 |       "15.71\n",
212 |       "0.00\n",
213 |       "0.00\n",
214 |       "0.00\n",
215 |       "0.00\n",
216 |       "15.62\n",
217 |       "0.00\n",
218 |       "0.00\n",
219 |       "0.00\n",
220 |       "0.00\n",
221 |       "15.62\n",
222 |       "0.00\n",
223 |       "0.00\n",
224 |       "0.00\n",
225 |       "0.00\n",
226 |       "15.61\n",
227 |       "0.00\n",
228 |       "0.00\n",
229 |       "0.00\n",
230 |       "15.63\n",
231 |       "0.00\n",
232 |       "0.00\n",
233 |       "0.00\n",
234 |       "0.00\n",
235 |       "15.63\n",
236 |       "6.60\n",
237 |       "2.22\n",
238 |       "0.00\n",
239 |       "8.19\n",
240 |       "2.02\n",
241 |       "8.21\n",
242 |       "12.34\n",
243 |       "8.21\n",
244 |       "0.00\n",
245 |       "0.00\n",
246 |       "12.35\n",
247 |       "0.00\n",
248 |       "8.06\n",
249 |       "2.22\n",
250 |       "0.00\n",
251 |       "10.16\n",
252 |       "0.00\n",
253 |       "8.03\n",
254 |       "2.24\n",
255 |       "0.00\n",
256 |       "10.38\n",
257 |       "0.00\n",
258 |       "8.21\n",
259 |       "2.21\n",
260 |       "9.19\n",
261 |       "4.00\n",
262 |       "4.10\n",
263 |       "2.10\n",
264 |       "8.10\n",
265 |       "2.02\n",
266 |       "0.00\n",
267 |       "10.18\n",
268 |       "0.00\n",
269 |       "10.12\n",
270 |       "0.00\n",
271 |       "8.10\n",
272 |       "5.67\n",
273 |       "4.59\n",
274 |       "2.09\n",
275 |       "0.00\n",
276 |       "10.19\n",
277 |       "0.00\n",
278 |       "10.11\n",
279 |       "0.00\n",
280 |       "10.17\n",
281 |       "0.00\n",
282 |       "8.10\n",
283 |       "2.09\n",
284 |       "8.14\n",
285 |       "2.09\n",
286 |       "8.11\n",
287 |       "2.11\n",
288 |       "8.03\n",
289 |       "10.44\n",
290 |       "0.00\n",
291 |       "10.29\n",
292 |       "0.00\n",
293 |       "15.69\n",
294 |       "0.00\n",
295 |       "0.00\n",
296 |       "15.64\n",
297 |       "0.00\n",
298 |       "0.00\n",
299 |       "15.68\n",
300 |       "0.00\n",
301 |       "0.00\n",
302 |       "15.62\n",
303 |       "0.00\n",
304 |       "0.00\n",
305 |       "15.65\n",
306 |       "0.00\n",
307 |       "16.70\n",
308 |       "4.33\n",
309 |       "0.00\n",
310 |       "15.71\n",
311 |       "0.00\n",
312 |       "0.00\n",
313 |       "15.61\n",
314 |       "0.00\n",
315 |       "0.00\n",
316 |       "15.62\n",
317 |       "0.00\n",
318 |       "15.63\n",
319 |       "0.00\n",
320 |       "0.00\n",
321 |       "15.55\n",
322 |       "0.00\n",
323 |       "0.00\n",
324 |       "15.62\n",
325 |       "6.01\n",
326 |       "0.00\n",
327 |       "15.70\n",
328 |       "0.00\n",
329 |       "0.00\n",
330 |       "15.63\n",
331 |       "0.00\n",
332 |       "15.62\n",
333 |       "0.00\n",
334 |       "0.00\n",
335 |       "15.62\n",
336 |       "0.00\n",
337 |       "0.00\n",
338 |       "15.64\n",
339 |       "0.00\n",
340 |       "15.61\n",
341 |       "6.09\n",
342 |       "0.00\n",
343 |       "0.00\n",
344 |       "15.71\n",
345 |       "0.00\n",
346 |       "15.54\n",
347 |       "0.00\n",
348 |       "0.00\n",
349 |       "15.69\n",
350 |       "0.00\n",
351 |       "15.55\n",
352 |       "0.00\n",
353 |       "0.00\n",
354 |       "15.63\n",
355 |       "0.00\n",
356 |       "15.70\n",
357 |       "6.60\n",
358 |       "12.69\n",
359 |       "16.40\n",
360 |       "3.18\n",
361 |       "0.00\n",
362 |       "15.72\n",
363 |       "0.00\n",
364 |       "18.59\n",
365 |       "0.00\n",
366 |       "15.71\n",
367 |       "0.00\n",
368 |       "0.00\n",
369 |       "16.72\n",
370 |       "11.18\n",
371 |       "15.64\n",
372 |       "0.00\n",
373 |       "15.69\n",
374 |       "0.00\n",
375 |       "15.62\n",
376 |       "0.00\n",
377 |       "15.62\n",
378 |       "0.00\n",
379 |       "15.62\n",
380 |       "0.00\n",
381 |       "11.05\n",
382 |       "0.00\n",
383 |       "15.63\n",
384 |       "0.00\n",
385 |       "15.62\n",
386 |       "19.28\n",
387 |       "7.00\n",
388 |       "7.00\n",
389 |       "5.51\n",
390 |       "16.24\n",
391 |       "0.00\n",
392 |       "13.02\n",
393 |       "0.00\n",
394 |       "15.63\n",
395 |       "0.00\n",
396 |       "15.62\n",
397 |       "0.00\n",
398 |       "23.18\n",
399 |       "8.00\n",
400 |       "8.00\n",
401 |       "3.47\n",
402 |       "0.00\n",
403 |       "15.62\n",
404 |       "10.51\n",
405 |       "0.00\n",
406 |       "15.63\n",
407 |       "0.00\n",
408 |       "15.62\n",
409 |       "15.62\n",
410 |       "0.00\n",
411 |       "15.62\n",
412 |       "0.00\n",
413 |       "15.62\n",
414 |       "0.00\n",
415 |       "15.62\n",
416 |       "6.51\n",
417 |       "0.00\n",
418 |       "15.63\n",
419 |       "0.00\n",
420 |       "15.63\n",
421 |       "15.62\n",
422 |       "0.00\n",
423 |       "15.62\n",
424 |       "0.00\n",
425 |       "15.68\n",
426 |       "15.63\n",
427 |       "6.58\n",
428 |       "0.00\n",
429 |       "15.70\n",
430 |       "0.00\n",
431 |       "15.62\n",
432 |       "15.56\n",
433 |       "0.00\n",
434 |       "15.62\n",
435 |       "0.00\n",
436 |       "15.62\n",
437 |       "0.00\n",
438 |       "15.62\n",
439 |       "6.59\n",
440 |       "0.00\n",
441 |       "0.00\n",
442 |       "15.62\n",
443 |       "0.00\n",
444 |       "15.62\n",
445 |       "0.00\n",
446 |       "15.63\n",
447 |       "0.00\n",
448 |       "15.61\n",
449 |       "15.62\n",
450 |       "8.95\n",
451 |       "10.28\n",
452 |       "8.12\n",
453 |       "10.49\n",
454 |       "8.20\n",
455 |       "12.37\n",
456 |       "10.34\n",
457 |       "8.10\n",
458 |       "8.24\n",
459 |       "2.22\n",
460 |       "10.45\n",
461 |       "10.46\n",
462 |       "10.38\n",
463 |       "10.47\n",
464 |       "8.13\n",
465 |       "2.22\n",
466 |       "2.37\n",
467 |       "10.36\n",
468 |       "10.46\n",
469 |       "10.34\n",
470 |       "10.45\n",
471 |       "8.17\n",
472 |       "10.47\n",
473 |       "2.22\n",
474 |       "10.39\n",
475 |       "10.47\n",
476 |       "18.45\n",
477 |       "10.09\n",
478 |       "0.00\n",
479 |       "15.63\n",
480 |       "15.71\n",
481 |       "0.00\n",
482 |       "15.63\n",
483 |       "0.00\n",
484 |       "0.00\n",
485 |       "15.63\n",
486 |       "0.00\n",
487 |       "24.35\n",
488 |       "11.24\n",
489 |       "9.50\n",
490 |       "10.19\n",
491 |       "10.47\n",
492 |       "10.35\n",
493 |       "10.18\n",
494 |       "8.25\n",
495 |       "10.43\n",
496 |       "12.40\n",
497 |       "17.72\n",
498 |       "10.18\n",
499 |       "10.80\n",
500 |       "9.64\n",
501 |       "10.19\n",
502 |       "10.18\n",
503 |       "10.12\n",
504 |       "10.19\n",
505 |       "10.21\n",
506 |       "10.18\n",
507 |       "10.10\n",
508 |       "10.18\n",
509 |       "10.20\n",
510 |       "10.17\n",
511 |       "10.21\n",
512 |       "10.18\n",
513 |       "10.11\n",
514 |       "10.18\n",
515 |       "12.12\n",
516 |       "20.66\n",
517 |       "10.46\n",
518 |       "10.47\n",
519 |       "10.40\n",
520 |       "10.36\n",
521 |       "10.46\n",
522 |       "10.23\n",
523 |       "10.49\n",
524 |       "10.49\n",
525 |       "10.43\n",
526 |       "10.35\n",
527 |       "10.39\n",
528 |       "18.61\n",
529 |       "10.19\n",
530 |       "12.51\n",
531 |       "10.07\n",
532 |       "10.37\n",
533 |       "18.51\n",
534 |       "10.08\n",
535 |       "15.71\n"
536 |      ]
537 |     }
538 |    ],
539 |    "source": [
540 |     "import hashlib\n",
541 |     "from Crypto import Random\n",
542 |     "from Crypto.Cipher import AES\n",
543 |     "from base64 import b64encode, b64decode \n",
544 |     "import time\n",
545 |     "import random\n",
546 |     "import string\n",
547 |     "str_list = []\n",
548 |     "\n",
549 |     "class AESCipher:\n",
550 |     "    def __init__(self,key):\n",
551 |     "        self.block_size = AES.block_size\n",
552 |     "        self.key = hashlib.sha256(key.encode()).digest()\n",
553 |     "\n",
554 |     "    def add_padding(self,plain_text):\n",
555 |     "        bytes_to_pad = self.block_size - len(plain_text) % self.block_size\n",
556 |     "        ascii_string = chr(bytes_to_pad)\n",
557 |     "        padding_string  = ascii_string * bytes_to_pad\n",
558 |     "        return plain_text + padding_string\n",
559 |     "  \n",
560 |     "    def remove_padding(self,txt):\n",
561 |     "        last_character = txt[len(txt) - 1:]\n",
562 |     "        return txt[:-ord(last_character)]\n",
563 |     "\n",
564 |     "    def encrypt(self, plain_text):\n",
565 |     "        plain_text = self.add_padding(plain_text)\n",
566 |     "        iv = Random.new().read(self.block_size)\n",
567 |     "        cipher = AES.new(self.key, AES.MODE_CBC, iv)\n",
568 |     "        encrypted_text = cipher.encrypt(plain_text.encode())\n",
569 |     "        return b64encode(iv+encrypted_text).decode('utf-8')\n",
570 |     "\n",
571 |     "if __name__ == '__main__':\n",
572 |     "\n",
573 |     "    key = 'uysdhfvuitgfgh'\n",
574 |     "    for length in range(5, 2501, 5):\n",
575 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
576 |     "        str_list.append(rand_string)\n",
577 |     "        start_time = time.time()\n",
578 |     "        for message in str_list:\n",
579 |     "            aes = AESCipher(key)\n",
580 |     "            encrypted = aes.encrypt(message)\n",
581 |     "        end_time = time.time()\n",
582 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))"
583 |    ]
584 |   },
585 |   {
586 |    "cell_type": "code",
587 |    "execution_count": null,
588 |    "id": "536cd007",
589 |    "metadata": {},
590 |    "outputs": [],
591 |    "source": []
592 |   }
593 |  ],
594 |  "metadata": {
595 |   "kernelspec": {
596 |    "display_name": "Python 3 (ipykernel)",
597 |    "language": "python",
598 |    "name": "python3"
599 |   },
600 |   "language_info": {
601 |    "codemirror_mode": {
602 |     "name": "ipython",
603 |     "version": 3
604 |    },
605 |    "file_extension": ".py",
606 |    "mimetype": "text/x-python",
607 |    "name": "python",
608 |    "nbconvert_exporter": "python",
609 |    "pygments_lexer": "ipython3",
610 |    "version": "3.9.13"
611 |   }
612 |  },
613 |  "nbformat": 4,
614 |  "nbformat_minor": 5
615 | }
616 | 


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/A_Comparative_Analysis_of_Cryptographic_Algorithms.pdf:
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https://raw.githubusercontent.com/Dheeraj-02NK/Comparitive-Analysis-of-Cryptographic-Algorithm/e4bbf1dc78300133d25dc183e7dcd2790bca5507/A_Comparative_Analysis_of_Cryptographic_Algorithms.pdf


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/Caesar_cipher.ipynb:
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  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 4,
  6 |    "id": "7709195c",
  7 |    "metadata": {
  8 |     "scrolled": true
  9 |    },
 10 |    "outputs": [
 11 |     {
 12 |      "name": "stdout",
 13 |      "output_type": "stream",
 14 |      "text": [
 15 |       "0.00\n",
 16 |       "0.00\n",
 17 |       "0.00\n",
 18 |       "0.00\n",
 19 |       "0.00\n",
 20 |       "0.00\n",
 21 |       "0.00\n",
 22 |       "0.00\n",
 23 |       "0.00\n",
 24 |       "0.00\n",
 25 |       "0.00\n",
 26 |       "0.00\n",
 27 |       "0.00\n",
 28 |       "0.00\n",
 29 |       "0.00\n",
 30 |       "0.00\n",
 31 |       "0.00\n",
 32 |       "0.00\n",
 33 |       "0.00\n",
 34 |       "0.00\n",
 35 |       "0.00\n",
 36 |       "0.00\n",
 37 |       "0.00\n",
 38 |       "0.00\n",
 39 |       "0.00\n",
 40 |       "0.00\n",
 41 |       "17.05\n",
 42 |       "0.00\n",
 43 |       "1.41\n",
 44 |       "0.00\n",
 45 |       "0.00\n",
 46 |       "1.06\n",
 47 |       "1.05\n",
 48 |       "0.00\n",
 49 |       "1.14\n",
 50 |       "1.10\n",
 51 |       "1.11\n",
 52 |       "1.10\n",
 53 |       "0.00\n",
 54 |       "1.09\n",
 55 |       "1.09\n",
 56 |       "1.10\n",
 57 |       "1.24\n",
 58 |       "1.11\n",
 59 |       "2.14\n",
 60 |       "1.23\n",
 61 |       "1.09\n",
 62 |       "1.23\n",
 63 |       "1.23\n",
 64 |       "1.24\n",
 65 |       "1.23\n",
 66 |       "1.35\n",
 67 |       "1.21\n",
 68 |       "2.30\n",
 69 |       "4.18\n",
 70 |       "0.00\n",
 71 |       "0.00\n",
 72 |       "0.00\n",
 73 |       "15.63\n",
 74 |       "1.00\n",
 75 |       "0.00\n",
 76 |       "0.00\n",
 77 |       "0.00\n",
 78 |       "0.00\n",
 79 |       "0.00\n",
 80 |       "0.00\n",
 81 |       "15.62\n",
 82 |       "0.00\n",
 83 |       "0.00\n",
 84 |       "0.00\n",
 85 |       "0.00\n",
 86 |       "0.00\n",
 87 |       "15.62\n",
 88 |       "0.00\n",
 89 |       "0.00\n",
 90 |       "0.00\n",
 91 |       "0.00\n",
 92 |       "15.62\n",
 93 |       "0.00\n",
 94 |       "0.00\n",
 95 |       "0.00\n",
 96 |       "15.62\n",
 97 |       "0.00\n",
 98 |       "0.00\n",
 99 |       "0.00\n",
100 |       "15.62\n",
101 |       "0.00\n",
102 |       "0.00\n",
103 |       "0.00\n",
104 |       "15.62\n",
105 |       "6.50\n",
106 |       "0.00\n",
107 |       "0.00\n",
108 |       "15.62\n",
109 |       "0.00\n",
110 |       "0.00\n",
111 |       "0.00\n",
112 |       "15.62\n",
113 |       "0.00\n",
114 |       "15.62\n",
115 |       "0.00\n",
116 |       "0.00\n",
117 |       "15.62\n",
118 |       "0.00\n",
119 |       "15.62\n",
120 |       "0.00\n",
121 |       "0.00\n",
122 |       "22.13\n",
123 |       "0.00\n",
124 |       "15.63\n",
125 |       "0.00\n",
126 |       "15.62\n",
127 |       "0.00\n",
128 |       "15.62\n",
129 |       "0.00\n",
130 |       "15.70\n",
131 |       "0.00\n",
132 |       "15.62\n",
133 |       "0.00\n",
134 |       "15.63\n",
135 |       "6.60\n",
136 |       "10.19\n",
137 |       "2.09\n",
138 |       "10.20\n",
139 |       "10.20\n",
140 |       "10.20\n",
141 |       "10.27\n",
142 |       "10.18\n",
143 |       "8.07\n",
144 |       "8.02\n",
145 |       "8.11\n",
146 |       "10.22\n",
147 |       "10.21\n",
148 |       "10.07\n",
149 |       "12.32\n",
150 |       "8.11\n",
151 |       "20.31\n",
152 |       "10.12\n",
153 |       "12.28\n",
154 |       "10.24\n",
155 |       "10.20\n",
156 |       "10.23\n",
157 |       "10.18\n",
158 |       "10.20\n",
159 |       "18.29\n",
160 |       "12.28\n",
161 |       "10.20\n",
162 |       "10.19\n",
163 |       "18.42\n",
164 |       "12.27\n",
165 |       "10.20\n",
166 |       "18.19\n",
167 |       "12.30\n",
168 |       "10.18\n",
169 |       "30.61\n",
170 |       "8.11\n",
171 |       "20.24\n",
172 |       "12.11\n",
173 |       "20.22\n",
174 |       "10.17\n",
175 |       "20.36\n",
176 |       "18.25\n",
177 |       "12.28\n",
178 |       "20.27\n",
179 |       "20.40\n",
180 |       "30.41\n",
181 |       "28.41\n",
182 |       "12.27\n",
183 |       "30.49\n",
184 |       "20.18\n",
185 |       "28.24\n",
186 |       "22.34\n",
187 |       "18.36\n",
188 |       "20.33\n",
189 |       "22.42\n",
190 |       "20.28\n",
191 |       "20.23\n",
192 |       "20.23\n",
193 |       "28.22\n",
194 |       "15.70\n",
195 |       "15.55\n",
196 |       "31.25\n",
197 |       "31.24\n",
198 |       "15.71\n",
199 |       "15.55\n",
200 |       "31.34\n",
201 |       "15.59\n",
202 |       "23.80\n",
203 |       "28.48\n",
204 |       "22.51\n",
205 |       "20.35\n",
206 |       "20.32\n",
207 |       "28.29\n",
208 |       "22.42\n",
209 |       "20.19\n",
210 |       "28.48\n",
211 |       "22.33\n",
212 |       "28.38\n",
213 |       "22.40\n",
214 |       "30.59\n",
215 |       "30.35\n",
216 |       "20.43\n",
217 |       "28.45\n",
218 |       "32.42\n",
219 |       "28.32\n",
220 |       "22.42\n",
221 |       "38.53\n",
222 |       "22.48\n",
223 |       "30.64\n",
224 |       "30.49\n",
225 |       "30.56\n",
226 |       "40.62\n",
227 |       "46.72\n",
228 |       "16.68\n",
229 |       "31.25\n",
230 |       "42.84\n",
231 |       "30.40\n",
232 |       "30.45\n",
233 |       "30.57\n",
234 |       "40.64\n",
235 |       "30.51\n",
236 |       "32.60\n",
237 |       "30.52\n",
238 |       "30.60\n",
239 |       "30.59\n",
240 |       "30.77\n",
241 |       "40.54\n",
242 |       "38.45\n",
243 |       "46.88\n",
244 |       "33.57\n",
245 |       "50.88\n",
246 |       "31.25\n",
247 |       "37.90\n",
248 |       "46.88\n",
249 |       "33.92\n",
250 |       "50.52\n",
251 |       "31.26\n",
252 |       "37.32\n",
253 |       "46.94\n",
254 |       "31.18\n",
255 |       "44.27\n",
256 |       "40.74\n",
257 |       "51.26\n",
258 |       "48.49\n",
259 |       "42.29\n",
260 |       "40.49\n",
261 |       "40.76\n",
262 |       "40.62\n",
263 |       "40.71\n",
264 |       "38.56\n",
265 |       "53.02\n",
266 |       "50.65\n",
267 |       "40.76\n",
268 |       "40.73\n",
269 |       "40.64\n",
270 |       "50.80\n",
271 |       "48.73\n",
272 |       "53.21\n",
273 |       "51.56\n",
274 |       "48.57\n",
275 |       "42.69\n",
276 |       "60.92\n",
277 |       "49.53\n",
278 |       "46.86\n",
279 |       "53.46\n",
280 |       "46.88\n",
281 |       "52.57\n",
282 |       "50.86\n",
283 |       "52.91\n",
284 |       "50.95\n",
285 |       "52.06\n",
286 |       "49.96\n",
287 |       "50.84\n",
288 |       "48.64\n",
289 |       "62.85\n",
290 |       "50.80\n",
291 |       "59.11\n",
292 |       "50.73\n",
293 |       "44.70\n",
294 |       "49.97\n",
295 |       "46.95\n",
296 |       "55.01\n",
297 |       "59.09\n",
298 |       "60.65\n",
299 |       "70.99\n",
300 |       "56.10\n",
301 |       "46.81\n",
302 |       "70.39\n",
303 |       "81.89\n",
304 |       "61.05\n",
305 |       "59.01\n",
306 |       "53.62\n",
307 |       "71.32\n",
308 |       "70.84\n",
309 |       "69.08\n",
310 |       "62.51\n",
311 |       "69.18\n",
312 |       "68.90\n",
313 |       "62.53\n",
314 |       "60.27\n",
315 |       "61.10\n",
316 |       "71.05\n",
317 |       "71.16\n",
318 |       "61.22\n",
319 |       "61.25\n",
320 |       "59.27\n",
321 |       "73.63\n",
322 |       "61.25\n",
323 |       "71.49\n",
324 |       "71.86\n",
325 |       "82.41\n",
326 |       "62.42\n",
327 |       "69.44\n",
328 |       "59.07\n",
329 |       "73.39\n",
330 |       "71.40\n",
331 |       "70.01\n",
332 |       "70.89\n",
333 |       "81.34\n",
334 |       "73.34\n",
335 |       "71.34\n",
336 |       "79.54\n",
337 |       "83.16\n",
338 |       "81.89\n",
339 |       "71.44\n",
340 |       "70.98\n",
341 |       "90.77\n",
342 |       "71.27\n",
343 |       "77.08\n",
344 |       "75.48\n",
345 |       "81.32\n",
346 |       "81.35\n",
347 |       "80.55\n",
348 |       "91.89\n",
349 |       "79.15\n",
350 |       "86.70\n",
351 |       "84.26\n",
352 |       "93.75\n",
353 |       "84.28\n",
354 |       "100.35\n",
355 |       "96.97\n",
356 |       "87.80\n",
357 |       "84.70\n",
358 |       "85.64\n",
359 |       "99.59\n",
360 |       "84.06\n",
361 |       "81.42\n",
362 |       "109.55\n",
363 |       "103.41\n",
364 |       "81.18\n",
365 |       "100.33\n",
366 |       "100.41\n",
367 |       "91.15\n",
368 |       "100.39\n",
369 |       "103.27\n",
370 |       "89.17\n",
371 |       "103.63\n",
372 |       "101.96\n",
373 |       "91.93\n",
374 |       "99.56\n",
375 |       "101.51\n",
376 |       "91.59\n",
377 |       "91.67\n",
378 |       "93.85\n",
379 |       "92.68\n",
380 |       "101.69\n",
381 |       "101.79\n",
382 |       "91.55\n",
383 |       "112.50\n",
384 |       "92.32\n",
385 |       "102.63\n",
386 |       "111.60\n",
387 |       "111.82\n",
388 |       "91.89\n",
389 |       "101.91\n",
390 |       "109.79\n",
391 |       "94.05\n",
392 |       "130.99\n",
393 |       "103.86\n",
394 |       "101.76\n",
395 |       "109.76\n",
396 |       "104.02\n",
397 |       "102.78\n",
398 |       "101.68\n",
399 |       "121.59\n",
400 |       "111.74\n",
401 |       "126.95\n",
402 |       "115.86\n",
403 |       "118.21\n",
404 |       "124.04\n",
405 |       "102.30\n",
406 |       "103.97\n",
407 |       "130.37\n",
408 |       "123.78\n",
409 |       "112.58\n",
410 |       "134.38\n",
411 |       "115.53\n",
412 |       "121.84\n",
413 |       "121.72\n",
414 |       "111.88\n",
415 |       "139.67\n",
416 |       "110.50\n",
417 |       "115.60\n",
418 |       "115.97\n",
419 |       "131.58\n",
420 |       "122.38\n",
421 |       "116.96\n",
422 |       "124.41\n",
423 |       "121.88\n",
424 |       "119.88\n",
425 |       "154.21\n",
426 |       "130.64\n",
427 |       "133.16\n",
428 |       "120.43\n",
429 |       "125.58\n",
430 |       "137.35\n",
431 |       "143.34\n",
432 |       "130.37\n",
433 |       "122.84\n",
434 |       "141.65\n",
435 |       "150.84\n",
436 |       "165.75\n",
437 |       "182.98\n",
438 |       "193.29\n",
439 |       "193.37\n",
440 |       "193.63\n",
441 |       "191.91\n",
442 |       "184.27\n",
443 |       "184.94\n",
444 |       "189.17\n",
445 |       "213.25\n",
446 |       "211.71\n",
447 |       "224.07\n",
448 |       "257.64\n",
449 |       "255.72\n",
450 |       "244.84\n",
451 |       "223.82\n",
452 |       "223.83\n",
453 |       "213.83\n",
454 |       "221.74\n",
455 |       "226.89\n",
456 |       "255.38\n",
457 |       "239.19\n",
458 |       "237.81\n",
459 |       "231.36\n",
460 |       "268.99\n",
461 |       "247.80\n",
462 |       "257.70\n",
463 |       "273.60\n",
464 |       "267.45\n",
465 |       "221.03\n",
466 |       "221.79\n",
467 |       "231.83\n",
468 |       "247.49\n",
469 |       "238.10\n",
470 |       "237.54\n",
471 |       "244.71\n",
472 |       "224.64\n",
473 |       "274.23\n",
474 |       "268.50\n",
475 |       "232.61\n",
476 |       "225.80\n",
477 |       "231.87\n",
478 |       "243.86\n",
479 |       "284.21\n",
480 |       "273.36\n",
481 |       "230.94\n",
482 |       "215.51\n",
483 |       "243.26\n",
484 |       "285.71\n",
485 |       "233.67\n",
486 |       "245.42\n",
487 |       "215.60\n",
488 |       "214.76\n",
489 |       "214.22\n",
490 |       "253.82\n",
491 |       "295.75\n",
492 |       "271.06\n",
493 |       "244.17\n",
494 |       "216.40\n",
495 |       "224.40\n",
496 |       "221.22\n",
497 |       "288.70\n",
498 |       "286.42\n",
499 |       "256.43\n",
500 |       "271.80\n",
501 |       "232.62\n",
502 |       "233.44\n",
503 |       "245.03\n",
504 |       "251.28\n",
505 |       "315.49\n",
506 |       "283.05\n",
507 |       "281.26\n",
508 |       "261.97\n",
509 |       "264.32\n",
510 |       "255.56\n",
511 |       "266.14\n",
512 |       "256.01\n",
513 |       "261.91\n",
514 |       "276.64\n"
515 |      ]
516 |     }
517 |    ],
518 |    "source": [
519 |     "import time\n",
520 |     "import random\n",
521 |     "import string\n",
522 |     "str_list = []\n",
523 |     "\n",
524 |     "Alpahbets = ' A!1B@2C#D3$E%4F^G5&H*6I(J7)K_8L-M9+N=0O:P;Q\\'R\"S?T/U>V<W.X,Y`Z~'\n",
525 |     "Key = 3\n",
526 |     "\n",
527 |     "def Caesar_encrypt(plain_text):\n",
528 |     "    cipher_text = ''\n",
529 |     "    plain_text = plain_text.upper()\n",
530 |     "    for c in plain_text:\n",
531 |     "        index = Alpahbets.find(c)\n",
532 |     "        index = (index + Key) % len(Alpahbets)\n",
533 |     "        cipher_text = cipher_text + Alpahbets[index]\n",
534 |     "    return cipher_text\n",
535 |     "\n",
536 |     "if __name__ == '__main__':\n",
537 |     "    \n",
538 |     "    for length in range(5, 2501, 5):\n",
539 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
540 |     "        str_list.append(rand_string)\n",
541 |     "\n",
542 |     "        start_time = time.time()\n",
543 |     "        for w in str_list:\n",
544 |     "            encrypted = (Caesar_encrypt(w))\n",
545 |     "\n",
546 |     "        end_time = time.time()\n",
547 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))\n",
548 |     "        "
549 |    ]
550 |   },
551 |   {
552 |    "cell_type": "code",
553 |    "execution_count": null,
554 |    "id": "46684907",
555 |    "metadata": {},
556 |    "outputs": [],
557 |    "source": []
558 |   },
559 |   {
560 |    "cell_type": "code",
561 |    "execution_count": null,
562 |    "id": "7c03afaa",
563 |    "metadata": {},
564 |    "outputs": [],
565 |    "source": []
566 |   }
567 |  ],
568 |  "metadata": {
569 |   "kernelspec": {
570 |    "display_name": "Python 3 (ipykernel)",
571 |    "language": "python",
572 |    "name": "python3"
573 |   },
574 |   "language_info": {
575 |    "codemirror_mode": {
576 |     "name": "ipython",
577 |     "version": 3
578 |    },
579 |    "file_extension": ".py",
580 |    "mimetype": "text/x-python",
581 |    "name": "python",
582 |    "nbconvert_exporter": "python",
583 |    "pygments_lexer": "ipython3",
584 |    "version": "3.9.13"
585 |   }
586 |  },
587 |  "nbformat": 4,
588 |  "nbformat_minor": 5
589 | }
590 | 


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/Crypto_report.xlsx:
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https://raw.githubusercontent.com/Dheeraj-02NK/Comparitive-Analysis-of-Cryptographic-Algorithm/e4bbf1dc78300133d25dc183e7dcd2790bca5507/Crypto_report.xlsx


--------------------------------------------------------------------------------
/DES.ipynb:
--------------------------------------------------------------------------------
 1 | {
 2 |  "cells": [
 3 |   {
 4 |    "cell_type": "code",
 5 |    "execution_count": null,
 6 |    "id": "16faa84e",
 7 |    "metadata": {},
 8 |    "outputs": [],
 9 |    "source": [
10 |     "from Crypto.Cipher import DES\n",
11 |     "import time\n",
12 |     "import random\n",
13 |     "import string\n",
14 |     "str_list = []\n",
15 |     "\n",
16 |     "def add_padding(text,blocksize=64):\n",
17 |     "    pad_len = blocksize - (len(text) % blocksize)\n",
18 |     "    padding = '$' * pad_len\n",
19 |     "    return text + padding\n",
20 |     "\n",
21 |     "def remove_padding(text,blocksize=64):\n",
22 |     "    counter = 0\n",
23 |     "    for c in text[::-1]:\n",
24 |     "        if c == '$':\n",
25 |     "            counter += 1\n",
26 |     "        else:\n",
27 |     "            break\n",
28 |     "    return str[:-counter]\n",
29 |     "\n",
30 |     "\n",
31 |     "def encrypt(plain_text, key):\n",
32 |     "    des = DES.new(key, DES.MODE_ECB)\n",
33 |     "    return des.encrypt(plain_text)\n",
34 |     "\n",
35 |     "if __name__ == '__main__':\n",
36 |     "    \n",
37 |     "    key = 'secretKey'\n",
38 |     "    for length in range(5, 1001, 5):\n",
39 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
40 |     "        str_list.append(rand_string)\n",
41 |     "        \n",
42 |     "        start_time = time.time()\n",
43 |     "        for plain_text in str_list:\n",
44 |     "            plain_text = add_padding(plain_text)\n",
45 |     "            cipher_text = encrypt(plain_text,key)\n",
46 |     "            \n",
47 |     "        end_time = time.time()\n",
48 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))"
49 |    ]
50 |   }
51 |  ],
52 |  "metadata": {
53 |   "kernelspec": {
54 |    "display_name": "Python 3 (ipykernel)",
55 |    "language": "python",
56 |    "name": "python3"
57 |   },
58 |   "language_info": {
59 |    "codemirror_mode": {
60 |     "name": "ipython",
61 |     "version": 3
62 |    },
63 |    "file_extension": ".py",
64 |    "mimetype": "text/x-python",
65 |    "name": "python",
66 |    "nbconvert_exporter": "python",
67 |    "pygments_lexer": "ipython3",
68 |    "version": "3.9.13"
69 |   }
70 |  },
71 |  "nbformat": 4,
72 |  "nbformat_minor": 5
73 | }
74 | 


--------------------------------------------------------------------------------
/DH.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 2,
  6 |    "id": "b844396b",
  7 |    "metadata": {
  8 |     "scrolled": true
  9 |    },
 10 |    "outputs": [
 11 |     {
 12 |      "name": "stdout",
 13 |      "output_type": "stream",
 14 |      "text": [
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418 |       "61.25\n",
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429 |       "71.14\n",
430 |       "71.18\n",
431 |       "71.20\n",
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456 |       "87.29\n",
457 |       "84.81\n",
458 |       "81.42\n",
459 |       "71.41\n",
460 |       "73.18\n",
461 |       "81.49\n",
462 |       "89.23\n",
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467 |       "69.00\n",
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470 |       "81.29\n",
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473 |       "89.63\n",
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475 |       "91.88\n",
476 |       "109.59\n",
477 |       "83.67\n",
478 |       "100.50\n",
479 |       "103.96\n",
480 |       "81.92\n",
481 |       "99.36\n",
482 |       "103.86\n",
483 |       "89.77\n",
484 |       "96.88\n",
485 |       "100.49\n",
486 |       "100.21\n",
487 |       "100.11\n",
488 |       "100.40\n",
489 |       "96.57\n",
490 |       "101.95\n",
491 |       "120.25\n",
492 |       "100.85\n",
493 |       "111.94\n",
494 |       "101.87\n",
495 |       "114.44\n",
496 |       "117.28\n",
497 |       "121.71\n",
498 |       "151.43\n",
499 |       "152.87\n",
500 |       "162.76\n",
501 |       "138.02\n",
502 |       "147.23\n",
503 |       "147.22\n",
504 |       "147.71\n",
505 |       "166.25\n",
506 |       "181.99\n",
507 |       "178.60\n",
508 |       "172.35\n",
509 |       "177.94\n",
510 |       "176.46\n",
511 |       "264.64\n",
512 |       "245.99\n",
513 |       "241.01\n",
514 |       "232.61\n"
515 |      ]
516 |     }
517 |    ],
518 |    "source": [
519 |     "import time\n",
520 |     "import random\n",
521 |     "import string\n",
522 |     "str_list = []\n",
523 |     "\n",
524 |     "def generate_private_key(n, g):\n",
525 |     "    x = random.randint(1, n)\n",
526 |     "    y = random.randint(1, n)\n",
527 |     "\n",
528 |     "    k1 = pow(g, x, n)\n",
529 |     "    k2 = pow(g, y, n)\n",
530 |     "\n",
531 |     "    return (k1, k2, x, y)\n",
532 |     "\n",
533 |     "def encrypt_message(message, k):\n",
534 |     "    encrypted = ''\n",
535 |     "    for c in message:\n",
536 |     "        encrypted += chr(ord(c) + k)\n",
537 |     "    return encrypted\n",
538 |     "\n",
539 |     "if __name__ == '__main__':\n",
540 |     "    n = 37\n",
541 |     "    g = 13\n",
542 |     "    k1, k2, x, y = generate_private_key(n, g)\n",
543 |     "    \n",
544 |     "    for length in range(5, 2501, 5):\n",
545 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
546 |     "        str_list.append(rand_string)\n",
547 |     "\n",
548 |     "        start_time = time.time()\n",
549 |     "        for message in str_list:\n",
550 |     "            encrypted_message = encrypt_message(message, k1)\n",
551 |     "        end_time = time.time()\n",
552 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))"
553 |    ]
554 |   },
555 |   {
556 |    "cell_type": "code",
557 |    "execution_count": null,
558 |    "id": "fe9f06a6",
559 |    "metadata": {},
560 |    "outputs": [],
561 |    "source": []
562 |   }
563 |  ],
564 |  "metadata": {
565 |   "kernelspec": {
566 |    "display_name": "Python 3 (ipykernel)",
567 |    "language": "python",
568 |    "name": "python3"
569 |   },
570 |   "language_info": {
571 |    "codemirror_mode": {
572 |     "name": "ipython",
573 |     "version": 3
574 |    },
575 |    "file_extension": ".py",
576 |    "mimetype": "text/x-python",
577 |    "name": "python",
578 |    "nbconvert_exporter": "python",
579 |    "pygments_lexer": "ipython3",
580 |    "version": "3.9.13"
581 |   }
582 |  },
583 |  "nbformat": 4,
584 |  "nbformat_minor": 5
585 | }
586 | 


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/Estimation.xlsx:
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https://raw.githubusercontent.com/Dheeraj-02NK/Comparitive-Analysis-of-Cryptographic-Algorithm/e4bbf1dc78300133d25dc183e7dcd2790bca5507/Estimation.xlsx


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/One_time_pad.ipynb:
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  1 | {
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  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 4,
  6 |    "id": "33941e3f",
  7 |    "metadata": {},
  8 |    "outputs": [
  9 |     {
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 85 |       "12.22\n",
 86 |       "10.31\n",
 87 |       "10.42\n",
 88 |       "10.47\n",
 89 |       "18.61\n",
 90 |       "12.59\n",
 91 |       "10.47\n",
 92 |       "18.57\n",
 93 |       "12.61\n",
 94 |       "10.45\n",
 95 |       "20.77\n",
 96 |       "10.45\n",
 97 |       "20.85\n",
 98 |       "18.57\n",
 99 |       "22.51\n",
100 |       "8.26\n",
101 |       "22.35\n",
102 |       "20.23\n",
103 |       "18.19\n",
104 |       "12.22\n",
105 |       "20.37\n",
106 |       "20.31\n",
107 |       "20.31\n",
108 |       "20.35\n",
109 |       "28.48\n",
110 |       "22.48\n",
111 |       "20.27\n",
112 |       "28.49\n",
113 |       "20.41\n",
114 |       "20.28\n",
115 |       "32.58\n",
116 |       "20.44\n",
117 |       "30.68\n",
118 |       "20.36\n",
119 |       "31.27\n",
120 |       "20.40\n",
121 |       "30.71\n",
122 |       "30.52\n",
123 |       "38.39\n",
124 |       "30.67\n",
125 |       "22.42\n",
126 |       "30.52\n",
127 |       "30.56\n",
128 |       "30.44\n",
129 |       "30.50\n",
130 |       "30.56\n",
131 |       "40.43\n",
132 |       "30.60\n",
133 |       "38.63\n",
134 |       "32.56\n",
135 |       "30.48\n",
136 |       "51.24\n",
137 |       "41.04\n",
138 |       "39.17\n",
139 |       "33.43\n",
140 |       "41.79\n",
141 |       "31.25\n",
142 |       "41.73\n",
143 |       "41.55\n",
144 |       "41.02\n",
145 |       "49.18\n",
146 |       "51.01\n",
147 |       "40.74\n",
148 |       "42.80\n",
149 |       "40.79\n",
150 |       "59.05\n",
151 |       "43.71\n",
152 |       "41.74\n",
153 |       "61.18\n",
154 |       "40.88\n",
155 |       "50.94\n",
156 |       "48.69\n",
157 |       "43.32\n",
158 |       "52.04\n",
159 |       "51.70\n",
160 |       "52.10\n",
161 |       "49.84\n",
162 |       "63.69\n",
163 |       "61.88\n",
164 |       "52.15\n",
165 |       "61.27\n",
166 |       "58.97\n",
167 |       "52.93\n",
168 |       "61.07\n",
169 |       "51.01\n",
170 |       "61.33\n",
171 |       "59.14\n",
172 |       "73.88\n",
173 |       "60.01\n",
174 |       "54.46\n",
175 |       "62.57\n",
176 |       "62.51\n",
177 |       "61.62\n",
178 |       "62.32\n",
179 |       "70.52\n",
180 |       "64.88\n",
181 |       "61.77\n",
182 |       "81.55\n",
183 |       "71.42\n",
184 |       "71.74\n",
185 |       "81.26\n",
186 |       "78.74\n",
187 |       "71.28\n",
188 |       "71.27\n",
189 |       "73.75\n",
190 |       "81.56\n",
191 |       "81.62\n",
192 |       "79.17\n",
193 |       "72.58\n",
194 |       "89.08\n",
195 |       "92.57\n",
196 |       "83.60\n",
197 |       "89.28\n",
198 |       "78.04\n",
199 |       "84.27\n",
200 |       "81.69\n",
201 |       "79.77\n",
202 |       "88.29\n",
203 |       "84.22\n",
204 |       "90.72\n",
205 |       "101.79\n",
206 |       "90.12\n",
207 |       "81.42\n",
208 |       "94.58\n",
209 |       "102.32\n",
210 |       "102.90\n",
211 |       "112.47\n",
212 |       "100.13\n",
213 |       "112.07\n",
214 |       "111.85\n",
215 |       "91.75\n",
216 |       "102.28\n",
217 |       "103.50\n",
218 |       "94.58\n",
219 |       "101.10\n",
220 |       "102.59\n",
221 |       "103.43\n",
222 |       "95.96\n",
223 |       "112.65\n",
224 |       "114.87\n",
225 |       "112.33\n",
226 |       "124.82\n",
227 |       "116.11\n",
228 |       "121.18\n",
229 |       "124.93\n",
230 |       "124.97\n",
231 |       "114.85\n",
232 |       "130.49\n",
233 |       "116.00\n",
234 |       "113.97\n",
235 |       "132.95\n",
236 |       "120.29\n",
237 |       "114.38\n",
238 |       "110.51\n",
239 |       "122.48\n",
240 |       "144.75\n",
241 |       "132.43\n",
242 |       "130.24\n",
243 |       "133.65\n",
244 |       "132.15\n",
245 |       "132.52\n",
246 |       "130.44\n",
247 |       "137.20\n",
248 |       "144.26\n",
249 |       "132.61\n",
250 |       "154.32\n",
251 |       "165.45\n",
252 |       "145.33\n",
253 |       "143.21\n",
254 |       "151.27\n",
255 |       "152.82\n",
256 |       "174.87\n",
257 |       "184.17\n",
258 |       "206.43\n",
259 |       "208.02\n",
260 |       "204.70\n",
261 |       "188.36\n",
262 |       "184.17\n",
263 |       "191.09\n",
264 |       "217.91\n",
265 |       "206.31\n",
266 |       "216.16\n",
267 |       "214.46\n",
268 |       "209.96\n",
269 |       "224.53\n",
270 |       "238.03\n",
271 |       "247.53\n",
272 |       "258.59\n",
273 |       "237.14\n",
274 |       "259.58\n",
275 |       "245.13\n",
276 |       "224.13\n",
277 |       "238.02\n",
278 |       "238.69\n",
279 |       "275.54\n",
280 |       "243.08\n",
281 |       "240.64\n",
282 |       "291.05\n",
283 |       "264.76\n",
284 |       "238.94\n",
285 |       "244.76\n",
286 |       "243.07\n",
287 |       "237.79\n",
288 |       "248.58\n",
289 |       "250.16\n",
290 |       "322.45\n",
291 |       "306.01\n",
292 |       "310.53\n",
293 |       "276.41\n",
294 |       "290.46\n",
295 |       "269.31\n",
296 |       "273.05\n",
297 |       "278.71\n",
298 |       "281.26\n",
299 |       "260.86\n",
300 |       "242.98\n",
301 |       "267.24\n",
302 |       "331.11\n",
303 |       "329.61\n",
304 |       "305.27\n",
305 |       "283.13\n",
306 |       "258.11\n",
307 |       "291.25\n",
308 |       "283.11\n",
309 |       "269.30\n",
310 |       "281.97\n",
311 |       "322.24\n",
312 |       "307.00\n",
313 |       "289.25\n",
314 |       "335.30\n",
315 |       "345.00\n",
316 |       "370.45\n",
317 |       "339.29\n",
318 |       "342.77\n",
319 |       "326.05\n",
320 |       "324.74\n",
321 |       "295.36\n",
322 |       "286.82\n",
323 |       "317.84\n",
324 |       "327.82\n",
325 |       "346.51\n",
326 |       "323.09\n",
327 |       "329.86\n",
328 |       "314.90\n",
329 |       "313.87\n",
330 |       "313.31\n",
331 |       "347.04\n",
332 |       "348.39\n",
333 |       "357.75\n",
334 |       "355.01\n",
335 |       "335.99\n",
336 |       "409.92\n",
337 |       "397.41\n",
338 |       "350.90\n",
339 |       "390.50\n",
340 |       "382.63\n",
341 |       "399.62\n",
342 |       "382.63\n",
343 |       "388.73\n",
344 |       "366.73\n",
345 |       "356.17\n",
346 |       "381.35\n",
347 |       "365.55\n",
348 |       "341.10\n",
349 |       "389.13\n",
350 |       "361.36\n",
351 |       "331.15\n",
352 |       "364.71\n",
353 |       "398.24\n",
354 |       "419.65\n",
355 |       "408.30\n",
356 |       "389.53\n",
357 |       "400.80\n",
358 |       "402.69\n",
359 |       "400.04\n",
360 |       "412.32\n",
361 |       "397.04\n",
362 |       "422.91\n",
363 |       "405.30\n",
364 |       "419.84\n",
365 |       "387.51\n",
366 |       "437.28\n",
367 |       "466.38\n",
368 |       "513.41\n",
369 |       "440.19\n",
370 |       "483.70\n",
371 |       "515.41\n",
372 |       "484.77\n",
373 |       "522.03\n",
374 |       "487.96\n",
375 |       "424.82\n",
376 |       "494.11\n",
377 |       "538.07\n",
378 |       "551.39\n",
379 |       "545.65\n",
380 |       "544.26\n",
381 |       "515.51\n",
382 |       "479.07\n",
383 |       "541.79\n",
384 |       "537.75\n",
385 |       "514.54\n",
386 |       "509.60\n",
387 |       "522.54\n",
388 |       "541.43\n",
389 |       "500.55\n",
390 |       "471.75\n",
391 |       "540.66\n",
392 |       "491.04\n",
393 |       "486.18\n",
394 |       "557.13\n",
395 |       "562.08\n",
396 |       "506.77\n",
397 |       "470.15\n",
398 |       "447.99\n",
399 |       "464.30\n",
400 |       "490.15\n",
401 |       "553.40\n",
402 |       "527.84\n",
403 |       "472.12\n",
404 |       "571.85\n",
405 |       "597.75\n",
406 |       "542.11\n",
407 |       "552.28\n",
408 |       "515.12\n",
409 |       "601.99\n",
410 |       "633.42\n",
411 |       "604.15\n",
412 |       "640.58\n",
413 |       "561.02\n",
414 |       "572.40\n",
415 |       "605.44\n",
416 |       "630.16\n",
417 |       "646.74\n",
418 |       "563.11\n",
419 |       "580.59\n",
420 |       "647.38\n",
421 |       "669.45\n",
422 |       "653.73\n",
423 |       "668.92\n",
424 |       "676.33\n",
425 |       "648.94\n",
426 |       "621.77\n",
427 |       "615.33\n",
428 |       "678.80\n",
429 |       "640.18\n",
430 |       "635.75\n",
431 |       "669.66\n",
432 |       "679.33\n",
433 |       "745.16\n",
434 |       "697.70\n",
435 |       "630.16\n",
436 |       "692.81\n",
437 |       "681.01\n",
438 |       "709.39\n",
439 |       "674.12\n",
440 |       "708.88\n",
441 |       "692.69\n",
442 |       "675.33\n",
443 |       "689.89\n",
444 |       "678.68\n",
445 |       "687.78\n",
446 |       "725.14\n",
447 |       "684.90\n",
448 |       "754.68\n",
449 |       "683.69\n",
450 |       "685.71\n",
451 |       "689.83\n",
452 |       "789.12\n",
453 |       "709.99\n",
454 |       "728.82\n",
455 |       "728.38\n",
456 |       "743.99\n",
457 |       "752.09\n",
458 |       "726.93\n",
459 |       "763.62\n",
460 |       "761.22\n",
461 |       "778.37\n",
462 |       "746.95\n",
463 |       "742.04\n",
464 |       "769.35\n",
465 |       "699.17\n",
466 |       "801.16\n",
467 |       "787.24\n",
468 |       "762.23\n",
469 |       "757.07\n",
470 |       "824.20\n",
471 |       "824.60\n",
472 |       "771.50\n",
473 |       "719.97\n",
474 |       "835.41\n",
475 |       "752.97\n",
476 |       "830.47\n",
477 |       "767.23\n",
478 |       "878.41\n",
479 |       "760.79\n",
480 |       "826.30\n",
481 |       "840.86\n",
482 |       "846.84\n",
483 |       "767.65\n",
484 |       "847.56\n",
485 |       "845.95\n",
486 |       "873.02\n",
487 |       "765.81\n",
488 |       "852.41\n",
489 |       "904.08\n",
490 |       "827.77\n",
491 |       "889.97\n",
492 |       "808.06\n",
493 |       "848.74\n",
494 |       "895.91\n",
495 |       "805.54\n",
496 |       "865.80\n",
497 |       "882.59\n",
498 |       "904.31\n",
499 |       "907.68\n",
500 |       "846.95\n",
501 |       "918.46\n",
502 |       "850.74\n",
503 |       "901.06\n",
504 |       "871.36\n",
505 |       "908.70\n",
506 |       "846.62\n",
507 |       "981.75\n",
508 |       "866.44\n",
509 |       "919.18\n",
510 |       "879.88\n",
511 |       "847.64\n",
512 |       "1016.17\n"
513 |      ]
514 |     }
515 |    ],
516 |    "source": [
517 |     "from random import randint\n",
518 |     "import time\n",
519 |     "import random\n",
520 |     "import string\n",
521 |     "str_list = []\n",
522 |     "\n",
523 |     "Alpahbets = ' A!1B@2C#D3$E%4F^G5&H*6I(J7)K_8L-M9+N=0O:P;Q\\'R\"S?T/U>V<W.X,Y`Z~'\n",
524 |     "\n",
525 |     "def encrypt(text,key):\n",
526 |     "    text = text.upper()\n",
527 |     "    cipher_text = ''\n",
528 |     "    for index, char in enumerate(text):\n",
529 |     "        key_index = key[index]\n",
530 |     "        char_index = Alpahbets.find(char)\n",
531 |     "        cipher_text += Alpahbets[(char_index + key_index) % len(Alpahbets)]\n",
532 |     "    return  cipher_text\n",
533 |     "\n",
534 |     "def random_sequence(text):\n",
535 |     "    random = []\n",
536 |     "    for _ in range(len(text)):\n",
537 |     "        random.append(randint(0,len(Alpahbets)))\n",
538 |     "    return random\n",
539 |     "\n",
540 |     "if __name__ == '__main__':\n",
541 |     "    \n",
542 |     "    for length in range(5, 2501, 5):\n",
543 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
544 |     "        str_list.append(rand_string)\n",
545 |     "        \n",
546 |     "        start_time = time.time()\n",
547 |     "        for message in str_list:\n",
548 |     "            seq = random_sequence(message)\n",
549 |     "            cipher_text = encrypt(message, seq)\n",
550 |     "        end_time = time.time()\n",
551 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))\n",
552 |     "    "
553 |    ]
554 |   },
555 |   {
556 |    "cell_type": "code",
557 |    "execution_count": null,
558 |    "id": "e35ea99c",
559 |    "metadata": {},
560 |    "outputs": [],
561 |    "source": []
562 |   }
563 |  ],
564 |  "metadata": {
565 |   "kernelspec": {
566 |    "display_name": "Python 3 (ipykernel)",
567 |    "language": "python",
568 |    "name": "python3"
569 |   },
570 |   "language_info": {
571 |    "codemirror_mode": {
572 |     "name": "ipython",
573 |     "version": 3
574 |    },
575 |    "file_extension": ".py",
576 |    "mimetype": "text/x-python",
577 |    "name": "python",
578 |    "nbconvert_exporter": "python",
579 |    "pygments_lexer": "ipython3",
580 |    "version": "3.9.13"
581 |   }
582 |  },
583 |  "nbformat": 4,
584 |  "nbformat_minor": 5
585 | }
586 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # Analysis-of-Cryptographic-Algorithm
 2 | A Comparative Analysis of Cryptographic Algorithms
 3 | 
 4 | # Abstract
 5 | 
 6 | With billions of internet users worldwide and the continuous growth of digital communication, data security has become a critical issue. Confidential data shared over the internet is vulnerable to cyber-attacks, and thus, there is an urgent need to secure the information transmitted over the network. Cryptographic algorithms play a crucial role in protecting sensitive information from unauthorized access. In this research paper, we perform a comparative analysis of different cryptographic algorithms and evaluate their time complexity. We investigate the efficiency and security of each algorithm to determine which one is comparatively better for data protection. security. We conducted experiments to calculate the time complexity of these algorithms based on the length of the message or string that is encrypted. Our study evaluated the efficiency and security of each algorithm to determine which one is better suited for data protection. Our findings show that the evaluated algorithms have different levels of time complexity, with some algorithms being faster than others for messages of different lengths. The results of our study provide insights into the strengths and weaknesses of different cryptographic algorithms and can be useful for researchers, cybersecurity professionals, and organizations concerned with data security.
 7 | 
 8 | # Conclusion
 9 | 
10 | AES and RSA are secure encryption algorithms used to protect digital data. While AES is faster and more efficient than RSA, RSA provides better security features such as key management and digital signatures. The choice of encryption algorithm depends on the specific security of the application and the resources available for management and computing power. However, it is worth noting that both algorithms are very secure and nearly unbreakable when used correctly, making them a good choice for secure communication.
11 | 


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/RSA.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "id": "3dd7f74a",
  7 |    "metadata": {
  8 |     "scrolled": true
  9 |    },
 10 |    "outputs": [
 11 |     {
 12 |      "name": "stdout",
 13 |      "output_type": "stream",
 14 |      "text": [
 15 |       "0.00\n",
 16 |       "1.02\n",
 17 |       "0.00\n",
 18 |       "0.00\n",
 19 |       "1.02\n",
 20 |       "0.00\n",
 21 |       "1.02\n",
 22 |       "1.02\n",
 23 |       "2.21\n",
 24 |       "1.33\n",
 25 |       "1.25\n",
 26 |       "1.23\n",
 27 |       "2.21\n",
 28 |       "3.27\n",
 29 |       "3.34\n",
 30 |       "4.71\n",
 31 |       "2.34\n",
 32 |       "4.42\n",
 33 |       "3.53\n",
 34 |       "1.08\n",
 35 |       "0.00\n",
 36 |       "0.00\n",
 37 |       "15.72\n",
 38 |       "0.00\n",
 39 |       "15.53\n",
 40 |       "0.00\n",
 41 |       "15.69\n",
 42 |       "0.00\n",
 43 |       "15.68\n",
 44 |       "0.00\n",
 45 |       "15.72\n",
 46 |       "13.58\n",
 47 |       "0.00\n",
 48 |       "15.63\n",
 49 |       "15.69\n",
 50 |       "0.00\n",
 51 |       "31.25\n",
 52 |       "0.00\n",
 53 |       "15.62\n",
 54 |       "22.20\n",
 55 |       "17.37\n",
 56 |       "15.63\n",
 57 |       "31.25\n",
 58 |       "15.62\n",
 59 |       "15.62\n",
 60 |       "20.14\n",
 61 |       "15.62\n",
 62 |       "15.62\n",
 63 |       "15.62\n",
 64 |       "31.25\n",
 65 |       "27.09\n",
 66 |       "30.72\n",
 67 |       "22.75\n",
 68 |       "40.96\n",
 69 |       "29.11\n",
 70 |       "33.01\n",
 71 |       "31.22\n",
 72 |       "38.77\n",
 73 |       "32.63\n",
 74 |       "31.04\n",
 75 |       "38.68\n",
 76 |       "32.55\n",
 77 |       "28.63\n",
 78 |       "41.33\n",
 79 |       "46.88\n",
 80 |       "22.21\n",
 81 |       "46.89\n",
 82 |       "31.32\n",
 83 |       "68.70\n",
 84 |       "38.57\n",
 85 |       "45.85\n",
 86 |       "46.87\n",
 87 |       "45.58\n",
 88 |       "41.64\n",
 89 |       "59.45\n",
 90 |       "43.14\n",
 91 |       "51.76\n",
 92 |       "59.51\n",
 93 |       "43.36\n",
 94 |       "49.61\n",
 95 |       "64.02\n",
 96 |       "62.08\n",
 97 |       "60.37\n",
 98 |       "61.74\n",
 99 |       "53.28\n",
100 |       "72.78\n",
101 |       "51.86\n",
102 |       "62.02\n",
103 |       "72.41\n",
104 |       "62.44\n",
105 |       "72.52\n",
106 |       "61.94\n",
107 |       "72.81\n",
108 |       "72.76\n",
109 |       "72.81\n",
110 |       "72.23\n",
111 |       "82.64\n",
112 |       "72.54\n",
113 |       "81.07\n",
114 |       "81.88\n",
115 |       "82.70\n",
116 |       "80.45\n",
117 |       "82.22\n",
118 |       "92.96\n",
119 |       "101.40\n",
120 |       "90.94\n",
121 |       "100.14\n",
122 |       "81.02\n",
123 |       "93.59\n",
124 |       "90.32\n",
125 |       "93.29\n",
126 |       "96.11\n",
127 |       "85.60\n",
128 |       "113.14\n",
129 |       "101.36\n",
130 |       "105.84\n",
131 |       "112.66\n",
132 |       "98.52\n",
133 |       "116.05\n",
134 |       "113.05\n",
135 |       "111.74\n",
136 |       "124.02\n",
137 |       "106.37\n",
138 |       "123.04\n",
139 |       "115.06\n",
140 |       "123.97\n",
141 |       "124.54\n",
142 |       "123.02\n",
143 |       "133.90\n",
144 |       "122.53\n",
145 |       "146.05\n",
146 |       "135.37\n",
147 |       "132.55\n",
148 |       "130.18\n",
149 |       "144.18\n",
150 |       "142.54\n",
151 |       "146.89\n",
152 |       "134.64\n",
153 |       "153.07\n",
154 |       "146.45\n",
155 |       "152.44\n",
156 |       "157.17\n",
157 |       "165.80\n",
158 |       "175.63\n",
159 |       "172.25\n",
160 |       "156.00\n",
161 |       "164.78\n",
162 |       "170.60\n",
163 |       "167.19\n",
164 |       "164.43\n",
165 |       "174.63\n",
166 |       "179.39\n",
167 |       "174.72\n",
168 |       "185.18\n",
169 |       "178.10\n",
170 |       "187.42\n",
171 |       "185.35\n",
172 |       "179.19\n",
173 |       "187.49\n",
174 |       "177.45\n",
175 |       "214.64\n",
176 |       "197.63\n",
177 |       "197.01\n",
178 |       "199.02\n",
179 |       "212.50\n",
180 |       "229.14\n",
181 |       "227.67\n",
182 |       "228.73\n",
183 |       "224.00\n",
184 |       "217.80\n",
185 |       "239.66\n",
186 |       "235.94\n",
187 |       "212.35\n",
188 |       "241.89\n",
189 |       "227.24\n",
190 |       "228.75\n",
191 |       "228.49\n",
192 |       "257.26\n",
193 |       "265.48\n",
194 |       "258.76\n",
195 |       "269.30\n",
196 |       "312.75\n",
197 |       "311.42\n",
198 |       "361.08\n",
199 |       "370.36\n",
200 |       "413.09\n",
201 |       "443.52\n",
202 |       "479.42\n",
203 |       "424.56\n",
204 |       "391.13\n",
205 |       "445.55\n",
206 |       "443.52\n",
207 |       "378.17\n",
208 |       "403.87\n",
209 |       "455.48\n",
210 |       "386.38\n",
211 |       "409.03\n",
212 |       "455.43\n",
213 |       "427.46\n",
214 |       "400.84\n",
215 |       "464.04\n",
216 |       "444.77\n",
217 |       "455.12\n",
218 |       "448.84\n",
219 |       "405.16\n",
220 |       "422.63\n",
221 |       "490.49\n",
222 |       "444.09\n",
223 |       "435.93\n",
224 |       "444.12\n",
225 |       "449.96\n",
226 |       "466.64\n",
227 |       "456.65\n",
228 |       "495.86\n",
229 |       "531.32\n",
230 |       "475.52\n",
231 |       "479.13\n",
232 |       "488.83\n",
233 |       "484.44\n",
234 |       "445.92\n",
235 |       "465.72\n",
236 |       "521.12\n",
237 |       "488.04\n",
238 |       "512.52\n",
239 |       "502.48\n",
240 |       "495.54\n",
241 |       "541.51\n",
242 |       "498.47\n",
243 |       "560.92\n",
244 |       "540.32\n",
245 |       "559.40\n",
246 |       "529.92\n",
247 |       "550.88\n",
248 |       "529.63\n",
249 |       "538.44\n",
250 |       "603.89\n",
251 |       "579.58\n",
252 |       "566.50\n",
253 |       "559.00\n",
254 |       "509.83\n",
255 |       "569.96\n",
256 |       "565.07\n",
257 |       "580.32\n",
258 |       "586.27\n",
259 |       "558.34\n",
260 |       "595.24\n",
261 |       "589.26\n",
262 |       "614.06\n",
263 |       "621.97\n",
264 |       "625.63\n",
265 |       "613.04\n",
266 |       "633.29\n",
267 |       "633.07\n",
268 |       "652.96\n",
269 |       "635.11\n",
270 |       "653.66\n",
271 |       "637.13\n",
272 |       "645.28\n",
273 |       "678.13\n",
274 |       "653.05\n",
275 |       "685.56\n",
276 |       "686.56\n",
277 |       "699.11\n",
278 |       "644.67\n",
279 |       "671.95\n",
280 |       "746.65\n",
281 |       "745.22\n",
282 |       "704.62\n",
283 |       "652.69\n",
284 |       "715.26\n",
285 |       "801.70\n",
286 |       "761.12\n",
287 |       "727.49\n",
288 |       "726.92\n",
289 |       "686.49\n",
290 |       "764.48\n",
291 |       "780.94\n",
292 |       "770.83\n",
293 |       "790.69\n",
294 |       "791.88\n",
295 |       "860.65\n",
296 |       "868.40\n",
297 |       "807.47\n",
298 |       "810.56\n",
299 |       "789.49\n",
300 |       "809.49\n",
301 |       "813.21\n",
302 |       "845.63\n",
303 |       "793.81\n",
304 |       "831.54\n",
305 |       "829.50\n",
306 |       "904.92\n",
307 |       "825.40\n",
308 |       "851.00\n",
309 |       "814.49\n",
310 |       "841.25\n",
311 |       "832.41\n",
312 |       "870.70\n",
313 |       "882.00\n",
314 |       "857.66\n",
315 |       "914.49\n",
316 |       "903.14\n",
317 |       "895.10\n",
318 |       "892.76\n",
319 |       "1009.53\n",
320 |       "895.13\n",
321 |       "902.37\n",
322 |       "855.58\n",
323 |       "913.07\n",
324 |       "956.64\n",
325 |       "928.88\n",
326 |       "977.98\n",
327 |       "965.02\n",
328 |       "957.77\n",
329 |       "985.96\n",
330 |       "956.71\n",
331 |       "966.56\n",
332 |       "1041.28\n",
333 |       "998.68\n",
334 |       "988.11\n",
335 |       "989.53\n",
336 |       "999.25\n",
337 |       "1032.77\n",
338 |       "1030.13\n",
339 |       "1063.07\n",
340 |       "1020.71\n",
341 |       "1054.44\n",
342 |       "1018.85\n",
343 |       "1053.08\n",
344 |       "1034.69\n",
345 |       "1096.03\n",
346 |       "1102.72\n",
347 |       "1060.89\n",
348 |       "1081.08\n",
349 |       "1135.70\n",
350 |       "1133.08\n",
351 |       "1073.30\n",
352 |       "1166.96\n",
353 |       "1124.47\n",
354 |       "1143.77\n",
355 |       "1207.86\n",
356 |       "1111.74\n",
357 |       "1176.03\n",
358 |       "1129.69\n",
359 |       "1186.78\n",
360 |       "1198.49\n",
361 |       "1218.40\n",
362 |       "1208.49\n",
363 |       "1151.26\n",
364 |       "1171.05\n",
365 |       "1176.17\n",
366 |       "1218.07\n",
367 |       "1227.74\n",
368 |       "1235.27\n",
369 |       "1232.75\n",
370 |       "1270.94\n",
371 |       "1216.38\n",
372 |       "1269.03\n",
373 |       "1270.80\n",
374 |       "1265.77\n",
375 |       "1312.42\n",
376 |       "1226.68\n",
377 |       "1274.83\n",
378 |       "1216.29\n",
379 |       "1320.08\n",
380 |       "1334.99\n",
381 |       "1342.96\n",
382 |       "1433.81\n",
383 |       "1392.05\n",
384 |       "1318.77\n",
385 |       "1419.73\n",
386 |       "1392.18\n",
387 |       "1355.19\n",
388 |       "1403.64\n",
389 |       "1472.01\n",
390 |       "1428.83\n",
391 |       "1528.40\n",
392 |       "1425.21\n",
393 |       "1441.24\n",
394 |       "1580.59\n",
395 |       "1547.01\n",
396 |       "1401.35\n",
397 |       "1395.57\n",
398 |       "1495.25\n",
399 |       "1479.34\n",
400 |       "2146.65\n",
401 |       "1408.47\n",
402 |       "1483.55\n",
403 |       "1506.47\n",
404 |       "1518.64\n",
405 |       "1543.38\n",
406 |       "1466.47\n",
407 |       "1640.86\n",
408 |       "1605.56\n",
409 |       "1641.54\n",
410 |       "1640.48\n",
411 |       "1659.40\n",
412 |       "1586.61\n",
413 |       "1731.36\n",
414 |       "1638.33\n",
415 |       "1572.94\n",
416 |       "1756.07\n",
417 |       "1689.45\n",
418 |       "1572.87\n",
419 |       "1603.92\n",
420 |       "1652.89\n",
421 |       "1726.60\n",
422 |       "1606.02\n",
423 |       "1706.99\n",
424 |       "1730.10\n",
425 |       "1787.01\n",
426 |       "1638.37\n",
427 |       "1705.27\n",
428 |       "1735.41\n",
429 |       "1714.96\n",
430 |       "1736.66\n",
431 |       "1711.78\n",
432 |       "1661.30\n",
433 |       "1785.26\n",
434 |       "1740.93\n",
435 |       "1752.36\n",
436 |       "1730.53\n",
437 |       "1765.93\n",
438 |       "1795.65\n",
439 |       "1852.67\n",
440 |       "1820.69\n",
441 |       "1889.03\n",
442 |       "1750.67\n",
443 |       "1906.95\n",
444 |       "1736.56\n",
445 |       "1843.38\n",
446 |       "1870.76\n",
447 |       "1781.45\n",
448 |       "1800.80\n",
449 |       "1871.68\n",
450 |       "1928.66\n",
451 |       "1826.80\n",
452 |       "1883.71\n",
453 |       "1967.47\n",
454 |       "2013.18\n",
455 |       "1863.70\n",
456 |       "1854.49\n",
457 |       "1880.51\n",
458 |       "1979.83\n",
459 |       "1964.68\n",
460 |       "1965.56\n",
461 |       "1922.82\n",
462 |       "2073.03\n",
463 |       "1953.23\n",
464 |       "1976.17\n",
465 |       "2002.62\n",
466 |       "2012.80\n",
467 |       "2054.51\n",
468 |       "2120.45\n",
469 |       "2059.94\n",
470 |       "2025.51\n",
471 |       "2106.92\n",
472 |       "2086.56\n",
473 |       "1968.20\n",
474 |       "2171.08\n",
475 |       "2061.79\n",
476 |       "2275.48\n",
477 |       "2183.02\n",
478 |       "2013.93\n",
479 |       "2135.35\n",
480 |       "2139.49\n",
481 |       "2139.01\n",
482 |       "2208.89\n",
483 |       "3124.44\n",
484 |       "2318.07\n",
485 |       "2218.64\n",
486 |       "2600.19\n",
487 |       "2798.15\n",
488 |       "2365.11\n",
489 |       "3795.59\n",
490 |       "3851.72\n",
491 |       "4281.29\n",
492 |       "3208.49\n",
493 |       "2787.23\n",
494 |       "2360.64\n",
495 |       "2411.09\n",
496 |       "2491.28\n",
497 |       "2532.66\n",
498 |       "2318.75\n",
499 |       "2463.93\n",
500 |       "2325.41\n",
501 |       "2394.42\n",
502 |       "2280.07\n",
503 |       "2319.98\n",
504 |       "2349.36\n",
505 |       "2480.10\n",
506 |       "2412.19\n",
507 |       "2410.61\n",
508 |       "2589.36\n",
509 |       "2537.72\n",
510 |       "2428.31\n",
511 |       "2445.54\n",
512 |       "2405.67\n",
513 |       "2497.95\n",
514 |       "2497.62\n"
515 |      ]
516 |     }
517 |    ],
518 |    "source": [
519 |     "import random\n",
520 |     "from math import floor\n",
521 |     "from math import sqrt\n",
522 |     "import time\n",
523 |     "import random\n",
524 |     "import string\n",
525 |     "str_list = []\n",
526 |     "\n",
527 |     "RANDOM_START = 1e3\n",
528 |     "RANDOM_END = 1e5\n",
529 |     "\n",
530 |     "\n",
531 |     "def is_prime(num):\n",
532 |     "    if num < 2:\n",
533 |     "        return False\n",
534 |     "    \n",
535 |     "    if num == 2:\n",
536 |     "        return True\n",
537 |     "\n",
538 |     "    if num % 2 == 0:\n",
539 |     "        return False\n",
540 |     "\n",
541 |     "    for i in range(3, floor(sqrt(num))):\n",
542 |     "        if num % i == 0:\n",
543 |     "            return False\n",
544 |     "    return True\n",
545 |     "\n",
546 |     "def gcd(a, b):\n",
547 |     "\n",
548 |     "    while b != 0:\n",
549 |     "        a, b = b, a % b\n",
550 |     "    return a\n",
551 |     "\n",
552 |     "def modular_inverse(a, b):\n",
553 |     "    if a == 0:\n",
554 |     "        return b, 0, 1\n",
555 |     "    div, x1, y1 = modular_inverse(b % a, a)\n",
556 |     "    x = y1 - (b // a) * x1\n",
557 |     "    y = x1\n",
558 |     "    return div, x, y\n",
559 |     "\n",
560 |     "\n",
561 |     "def generate_large_prime(start=RANDOM_START, end=RANDOM_END):\n",
562 |     "    num = random.randint(start, end)\n",
563 |     "    while not is_prime(num):\n",
564 |     "        num = random.randint(start, end)\n",
565 |     "    return num\n",
566 |     "\n",
567 |     "\n",
568 |     "def generate_rsa_keys():\n",
569 |     "    p = generate_large_prime()\n",
570 |     "    q = generate_large_prime()\n",
571 |     "    n = p * q\n",
572 |     "    phi = (p-1)*(q-1)\n",
573 |     "    e = random.randrange(1, phi)\n",
574 |     "    while gcd(e, phi) != 1:\n",
575 |     "        e = random.randrange(1, phi)\n",
576 |     "    d = modular_inverse(e, phi)[1]\n",
577 |     "    return (d, n), (e, n)\n",
578 |     "\n",
579 |     "\n",
580 |     "\n",
581 |     "def encrypt(public_key, plain_text):\n",
582 |     "    e, n = public_key\n",
583 |     "    cipher_text = []\n",
584 |     "    for char in plain_text:\n",
585 |     "        a = ord(char)\n",
586 |     "        cipher_text.append(pow(a, e, n))\n",
587 |     "    return cipher_text\n",
588 |     "\n",
589 |     "if __name__ == '__main__':\n",
590 |     "    \n",
591 |     "    for length in range(5, 2501, 5):\n",
592 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
593 |     "        str_list.append(rand_string)\n",
594 |     "\n",
595 |     "        start_time = time.time()\n",
596 |     "        for message in str_list:\n",
597 |     "            private_key, public_key = generate_rsa_keys()\n",
598 |     "            cipher = encrypt(public_key, message)\n",
599 |     "            \n",
600 |     "        end_time = time.time()\n",
601 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))\n",
602 |     "    "
603 |    ]
604 |   },
605 |   {
606 |    "cell_type": "code",
607 |    "execution_count": null,
608 |    "id": "62024923",
609 |    "metadata": {},
610 |    "outputs": [],
611 |    "source": []
612 |   }
613 |  ],
614 |  "metadata": {
615 |   "kernelspec": {
616 |    "display_name": "Python 3 (ipykernel)",
617 |    "language": "python",
618 |    "name": "python3"
619 |   },
620 |   "language_info": {
621 |    "codemirror_mode": {
622 |     "name": "ipython",
623 |     "version": 3
624 |    },
625 |    "file_extension": ".py",
626 |    "mimetype": "text/x-python",
627 |    "name": "python",
628 |    "nbconvert_exporter": "python",
629 |    "pygments_lexer": "ipython3",
630 |    "version": "3.9.13"
631 |   }
632 |  },
633 |  "nbformat": 4,
634 |  "nbformat_minor": 5
635 | }
636 | 


--------------------------------------------------------------------------------
/Report.txt:
--------------------------------------------------------------------------------
1 | Drive link for the complete project
2 | 
3 | https://drive.google.com/drive/folders/1O-Q58i_S2Y83XLC9Ht5TfJ-koljebLjK
4 | 


--------------------------------------------------------------------------------
/Vigenere_cipher.ipynb:
--------------------------------------------------------------------------------
  1 | {
  2 |  "cells": [
  3 |   {
  4 |    "cell_type": "code",
  5 |    "execution_count": 1,
  6 |    "id": "d80e4b89",
  7 |    "metadata": {},
  8 |    "outputs": [
  9 |     {
 10 |      "name": "stdout",
 11 |      "output_type": "stream",
 12 |      "text": [
 13 |       "0.00\n",
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 24 |       "1.01\n",
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 28 |       "0.00\n",
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 39 |       "0.00\n",
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 45 |       "1.25\n",
 46 |       "1.24\n",
 47 |       "1.26\n",
 48 |       "1.24\n",
 49 |       "2.49\n",
 50 |       "1.02\n",
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 55 |       "0.00\n",
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 85 |       "0.00\n",
 86 |       "15.63\n",
 87 |       "0.00\n",
 88 |       "0.00\n",
 89 |       "15.63\n",
 90 |       "0.00\n",
 91 |       "0.00\n",
 92 |       "15.61\n",
 93 |       "6.09\n",
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 98 |       "0.00\n",
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100 |       "15.62\n",
101 |       "15.55\n",
102 |       "0.00\n",
103 |       "15.62\n",
104 |       "0.00\n",
105 |       "22.13\n",
106 |       "0.00\n",
107 |       "15.63\n",
108 |       "0.00\n",
109 |       "15.62\n",
110 |       "0.00\n",
111 |       "15.62\n",
112 |       "15.62\n",
113 |       "0.00\n",
114 |       "15.62\n",
115 |       "0.00\n",
116 |       "24.28\n",
117 |       "10.20\n",
118 |       "10.20\n",
119 |       "10.21\n",
120 |       "10.18\n",
121 |       "10.20\n",
122 |       "10.19\n",
123 |       "20.69\n",
124 |       "10.39\n",
125 |       "8.11\n",
126 |       "32.45\n",
127 |       "10.23\n",
128 |       "10.32\n",
129 |       "18.31\n",
130 |       "12.29\n",
131 |       "10.20\n",
132 |       "18.37\n",
133 |       "12.22\n",
134 |       "18.24\n",
135 |       "12.36\n",
136 |       "10.22\n",
137 |       "20.46\n",
138 |       "10.20\n",
139 |       "20.41\n",
140 |       "20.30\n",
141 |       "18.33\n",
142 |       "12.59\n",
143 |       "20.53\n",
144 |       "10.63\n",
145 |       "20.66\n",
146 |       "20.74\n",
147 |       "28.46\n",
148 |       "10.31\n",
149 |       "20.35\n",
150 |       "20.48\n",
151 |       "20.29\n",
152 |       "20.34\n",
153 |       "20.80\n",
154 |       "27.98\n",
155 |       "21.57\n",
156 |       "21.65\n",
157 |       "20.78\n",
158 |       "30.53\n",
159 |       "20.23\n",
160 |       "20.32\n",
161 |       "20.35\n",
162 |       "28.40\n",
163 |       "22.37\n",
164 |       "20.29\n",
165 |       "28.25\n",
166 |       "30.91\n",
167 |       "22.46\n",
168 |       "28.40\n",
169 |       "22.95\n",
170 |       "20.72\n",
171 |       "40.72\n",
172 |       "20.33\n",
173 |       "30.54\n",
174 |       "30.76\n",
175 |       "29.08\n",
176 |       "32.75\n",
177 |       "29.01\n",
178 |       "22.75\n",
179 |       "40.76\n",
180 |       "30.61\n",
181 |       "38.98\n",
182 |       "31.18\n",
183 |       "40.67\n",
184 |       "30.73\n",
185 |       "41.67\n",
186 |       "31.33\n",
187 |       "29.33\n",
188 |       "30.59\n",
189 |       "49.13\n",
190 |       "41.39\n",
191 |       "32.81\n",
192 |       "48.99\n",
193 |       "32.43\n",
194 |       "38.66\n",
195 |       "32.53\n",
196 |       "38.55\n",
197 |       "35.88\n",
198 |       "46.80\n",
199 |       "37.75\n",
200 |       "31.25\n",
201 |       "46.87\n",
202 |       "34.53\n",
203 |       "40.55\n",
204 |       "49.00\n",
205 |       "42.71\n",
206 |       "40.64\n",
207 |       "40.67\n",
208 |       "40.87\n",
209 |       "40.73\n",
210 |       "49.17\n",
211 |       "42.53\n",
212 |       "40.80\n",
213 |       "51.94\n",
214 |       "41.76\n",
215 |       "41.76\n",
216 |       "41.47\n",
217 |       "44.36\n",
218 |       "46.80\n",
219 |       "53.38\n",
220 |       "46.87\n",
221 |       "39.89\n",
222 |       "50.99\n",
223 |       "48.57\n",
224 |       "41.26\n",
225 |       "62.51\n",
226 |       "37.80\n",
227 |       "69.13\n",
228 |       "46.87\n",
229 |       "53.04\n",
230 |       "46.94\n",
231 |       "55.67\n",
232 |       "51.56\n",
233 |       "51.34\n",
234 |       "60.95\n",
235 |       "61.44\n",
236 |       "60.63\n",
237 |       "51.99\n",
238 |       "51.55\n",
239 |       "67.04\n",
240 |       "53.97\n",
241 |       "53.56\n",
242 |       "51.84\n",
243 |       "71.74\n",
244 |       "50.78\n",
245 |       "60.91\n",
246 |       "71.18\n",
247 |       "50.96\n",
248 |       "69.05\n",
249 |       "52.97\n",
250 |       "61.22\n",
251 |       "61.35\n",
252 |       "61.28\n",
253 |       "58.91\n",
254 |       "63.52\n",
255 |       "62.41\n",
256 |       "62.57\n",
257 |       "62.62\n",
258 |       "79.19\n",
259 |       "71.00\n",
260 |       "62.99\n",
261 |       "69.11\n",
262 |       "60.89\n",
263 |       "73.91\n",
264 |       "72.48\n",
265 |       "62.28\n",
266 |       "82.49\n",
267 |       "83.66\n",
268 |       "70.60\n",
269 |       "64.61\n",
270 |       "75.34\n",
271 |       "62.49\n",
272 |       "69.08\n",
273 |       "84.72\n",
274 |       "72.13\n",
275 |       "84.23\n",
276 |       "90.50\n",
277 |       "86.95\n",
278 |       "77.43\n",
279 |       "69.65\n",
280 |       "90.06\n",
281 |       "84.98\n",
282 |       "93.60\n",
283 |       "73.08\n",
284 |       "80.86\n",
285 |       "84.86\n",
286 |       "72.85\n",
287 |       "90.58\n",
288 |       "81.26\n",
289 |       "81.99\n",
290 |       "81.68\n",
291 |       "92.63\n",
292 |       "83.09\n",
293 |       "83.15\n",
294 |       "91.44\n",
295 |       "82.36\n",
296 |       "94.05\n",
297 |       "89.61\n",
298 |       "83.48\n",
299 |       "99.47\n",
300 |       "93.88\n",
301 |       "101.15\n",
302 |       "91.60\n",
303 |       "92.07\n",
304 |       "91.54\n",
305 |       "101.75\n",
306 |       "91.60\n",
307 |       "92.27\n",
308 |       "105.57\n",
309 |       "99.26\n",
310 |       "96.78\n",
311 |       "102.06\n",
312 |       "93.92\n",
313 |       "103.88\n",
314 |       "113.58\n",
315 |       "120.36\n",
316 |       "104.23\n",
317 |       "111.68\n",
318 |       "113.90\n",
319 |       "116.03\n",
320 |       "117.41\n",
321 |       "122.39\n",
322 |       "113.55\n",
323 |       "111.69\n",
324 |       "105.73\n",
325 |       "111.89\n",
326 |       "105.94\n",
327 |       "112.90\n",
328 |       "122.28\n",
329 |       "120.79\n",
330 |       "130.84\n",
331 |       "117.17\n",
332 |       "114.43\n",
333 |       "131.75\n",
334 |       "151.67\n",
335 |       "141.95\n",
336 |       "129.96\n",
337 |       "130.84\n",
338 |       "174.89\n",
339 |       "184.05\n",
340 |       "184.91\n",
341 |       "181.49\n",
342 |       "186.84\n",
343 |       "185.12\n",
344 |       "202.33\n",
345 |       "197.36\n",
346 |       "204.76\n",
347 |       "188.83\n",
348 |       "233.73\n",
349 |       "206.60\n",
350 |       "205.28\n",
351 |       "183.34\n",
352 |       "205.43\n",
353 |       "184.07\n",
354 |       "191.84\n",
355 |       "186.40\n",
356 |       "204.84\n",
357 |       "213.11\n",
358 |       "198.61\n",
359 |       "226.30\n",
360 |       "215.06\n",
361 |       "224.45\n",
362 |       "235.60\n",
363 |       "226.15\n",
364 |       "216.24\n",
365 |       "215.91\n",
366 |       "245.06\n",
367 |       "226.52\n",
368 |       "235.09\n",
369 |       "238.68\n",
370 |       "227.19\n",
371 |       "252.49\n",
372 |       "236.70\n",
373 |       "295.89\n",
374 |       "263.60\n",
375 |       "253.27\n",
376 |       "213.31\n",
377 |       "235.14\n",
378 |       "253.85\n",
379 |       "266.47\n",
380 |       "255.16\n",
381 |       "247.09\n",
382 |       "234.44\n",
383 |       "223.88\n",
384 |       "255.68\n",
385 |       "245.55\n",
386 |       "222.80\n",
387 |       "194.09\n",
388 |       "197.97\n",
389 |       "213.86\n",
390 |       "234.74\n",
391 |       "278.55\n",
392 |       "240.20\n",
393 |       "231.82\n",
394 |       "226.58\n",
395 |       "238.57\n",
396 |       "245.17\n",
397 |       "246.67\n",
398 |       "225.66\n",
399 |       "270.92\n",
400 |       "264.51\n",
401 |       "268.19\n",
402 |       "259.61\n",
403 |       "265.19\n",
404 |       "289.07\n",
405 |       "303.88\n",
406 |       "258.20\n",
407 |       "270.10\n",
408 |       "305.13\n",
409 |       "297.12\n",
410 |       "257.89\n",
411 |       "284.74\n",
412 |       "305.73\n",
413 |       "317.03\n",
414 |       "277.47\n",
415 |       "254.73\n",
416 |       "255.37\n",
417 |       "263.64\n",
418 |       "341.78\n",
419 |       "305.66\n",
420 |       "266.25\n",
421 |       "279.16\n",
422 |       "270.78\n",
423 |       "305.55\n",
424 |       "313.21\n",
425 |       "302.54\n",
426 |       "352.59\n",
427 |       "338.88\n",
428 |       "300.33\n",
429 |       "298.51\n",
430 |       "306.81\n",
431 |       "302.52\n",
432 |       "327.02\n",
433 |       "365.84\n",
434 |       "326.68\n",
435 |       "340.37\n",
436 |       "339.86\n",
437 |       "337.86\n",
438 |       "372.10\n",
439 |       "332.35\n",
440 |       "332.19\n",
441 |       "295.09\n",
442 |       "322.79\n",
443 |       "293.66\n",
444 |       "287.80\n",
445 |       "318.95\n",
446 |       "368.33\n",
447 |       "318.41\n",
448 |       "316.21\n",
449 |       "332.80\n",
450 |       "351.45\n",
451 |       "371.40\n",
452 |       "354.64\n",
453 |       "316.90\n",
454 |       "296.00\n",
455 |       "322.63\n",
456 |       "412.72\n",
457 |       "358.69\n",
458 |       "338.79\n",
459 |       "349.25\n",
460 |       "337.45\n",
461 |       "366.49\n",
462 |       "328.48\n",
463 |       "319.39\n",
464 |       "300.64\n",
465 |       "329.76\n",
466 |       "337.45\n",
467 |       "371.85\n",
468 |       "362.13\n",
469 |       "359.03\n",
470 |       "348.77\n",
471 |       "332.06\n",
472 |       "343.70\n",
473 |       "358.98\n",
474 |       "341.92\n",
475 |       "343.94\n",
476 |       "336.54\n",
477 |       "339.07\n",
478 |       "340.11\n",
479 |       "377.60\n",
480 |       "388.08\n",
481 |       "386.20\n",
482 |       "397.28\n",
483 |       "366.94\n",
484 |       "356.97\n",
485 |       "364.88\n",
486 |       "348.55\n",
487 |       "358.45\n",
488 |       "345.54\n",
489 |       "359.05\n",
490 |       "399.62\n",
491 |       "369.77\n",
492 |       "391.16\n",
493 |       "403.00\n",
494 |       "438.49\n",
495 |       "450.76\n",
496 |       "398.59\n",
497 |       "458.40\n",
498 |       "418.39\n",
499 |       "399.70\n",
500 |       "416.08\n",
501 |       "404.66\n",
502 |       "379.72\n",
503 |       "390.85\n",
504 |       "398.62\n",
505 |       "413.58\n",
506 |       "417.52\n",
507 |       "469.33\n",
508 |       "434.43\n",
509 |       "404.80\n",
510 |       "436.83\n",
511 |       "479.13\n",
512 |       "456.40\n"
513 |      ]
514 |     }
515 |    ],
516 |    "source": [
517 |     "import time\n",
518 |     "import random\n",
519 |     "import string\n",
520 |     "\n",
521 |     "Alpahbets = ' A!1B@2C#D3$E%4F^G5&H*6I(J7)K_8L-M9+N=0O:P;Q\\'R\"S?T/U>V<W.X,Y`Z~'\n",
522 |     "str_list = []\n",
523 |     "def vigenere_encrypt(plain_text,key):\n",
524 |     "    \n",
525 |     "    plain_text = plain_text.upper()\n",
526 |     "    key = key.upper()\n",
527 |     "    \n",
528 |     "    cipher_text = ''\n",
529 |     "    Key_Index = 0\n",
530 |     "    \n",
531 |     "    for char in plain_text:\n",
532 |     "        index = (Alpahbets.find(char) + Alpahbets.find(key[Key_Index])) % len(Alpahbets)\n",
533 |     "        cipher_text =cipher_text + Alpahbets[index]\n",
534 |     "        Key_Index = Key_Index + 1\n",
535 |     "        \n",
536 |     "        if Key_Index == len(key):\n",
537 |     "            Key_Index = 0\n",
538 |     "            \n",
539 |     "    return cipher_text\n",
540 |     "\n",
541 |     "if __name__ == '__main__':\n",
542 |     "    \n",
543 |     "    KEY = 'key'\n",
544 |     "    for length in range(5, 2501, 5):\n",
545 |     "        rand_string = ''.join(random.choices(string.ascii_uppercase, k=length))\n",
546 |     "        str_list.append(rand_string)\n",
547 |     "    \n",
548 |     "        start_time = time.time()\n",
549 |     "        for text in str_list:\n",
550 |     "            encrypted_msg = vigenere_encrypt(text,KEY)\n",
551 |     "    \n",
552 |     "        end_time = time.time()\n",
553 |     "        print(\"{:.2f}\".format((end_time - start_time)*1000))\n",
554 |     "\n",
555 |     "    "
556 |    ]
557 |   },
558 |   {
559 |    "cell_type": "code",
560 |    "execution_count": null,
561 |    "id": "e932bd87",
562 |    "metadata": {},
563 |    "outputs": [],
564 |    "source": []
565 |   },
566 |   {
567 |    "cell_type": "code",
568 |    "execution_count": null,
569 |    "id": "2716c92b",
570 |    "metadata": {},
571 |    "outputs": [],
572 |    "source": []
573 |   }
574 |  ],
575 |  "metadata": {
576 |   "kernelspec": {
577 |    "display_name": "Python 3 (ipykernel)",
578 |    "language": "python",
579 |    "name": "python3"
580 |   },
581 |   "language_info": {
582 |    "codemirror_mode": {
583 |     "name": "ipython",
584 |     "version": 3
585 |    },
586 |    "file_extension": ".py",
587 |    "mimetype": "text/x-python",
588 |    "name": "python",
589 |    "nbconvert_exporter": "python",
590 |    "pygments_lexer": "ipython3",
591 |    "version": "3.9.13"
592 |   }
593 |  },
594 |  "nbformat": 4,
595 |  "nbformat_minor": 5
596 | }
597 | 


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