└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Awesome Log-based Anomaly Detection 2 | A list of papers on log-based anomaly detection (and related works). 3 | You are welcome to open an issue and pull your requests if you think any paper that is important but not are inclueded in this repo. 4 | The papers are orgnized in **log parsing** (previous step of anomaly detection), **anomaly detection**, **log monitoring** (application of log analysis) and **survey**. 5 | Papers of time series anomaly detection are shown in another [repo](https://github.com/zhuyiche/awesome-anomaly-detection/). 6 | 7 | 8 | ## log parsing 9 | - [Logparse: Making log parsing adaptive through word classification](http://nkcs.iops.ai/wp-content/uploads/2020/05/paper-ICCCN20-LogParse.pdf) -ICCCN 2020 10 | - [Logram: Efficient Log Parsing Using n-Gram Dictionaries](https://arxiv.org/pdf/2001.03038.pdf) -TSE 2020 11 | - [Tools and Benchmarks for Automated Log Parsing](https://arxiv.org/pdf/1811.03509.pdf) -ICSE 2019 12 | - [Spell: Online Streaming Parsing of Large Unstructured System Logs](https://ieeexplore.ieee.org/abstract/document/8489912) -TKDE 2018 13 | - [Towards Automated Log Parsing for Large-Scale Log Data Analysis](https://ieeexplore.ieee.org/document/8067504) -TDSC 2018 14 | - [Drain: An Online Log Parsing Approach with Fixed Depth Tree](https://ieeexplore.ieee.org/abstract/document/8029742) -ICWS 2017 15 | - [Syslog processing for switch failure diagnosis and prediction in datacenter networks](https://netman.aiops.org/~peidan/ANM2020/6.LogAnomalyDetection/LectureCoverage/2017IWQOS_FT-Tree.pdf) -IWQoS 2017 16 | 17 | 18 | 19 | 20 | 21 | ## anomaly detection 22 | - [Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation](https://ieeexplore.ieee.org/abstract/document/9401970) -ICSE 2021 23 | - [Loganomaly: Unsupervised detection of sequential and quantitative anomalies in unstructured logs](https://netman.aiops.org/wp-content/uploads/2019/07/LogAnomaly.pdf) -IJCAI 2019 24 | - [Robust log-based anomaly detection on unstable log data](https://netman.aiops.org/~peidan/ANM2020/6.LogAnomalyDetection/LectureCoverage/2019FSE_LogRobust.pdf) - FSE 2019 25 | - [Prefix: Switch failure prediction in datacenter networks](https://dl.acm.org/doi/abs/10.1145/3179405) -SIGMETRICS 2018 26 | - [DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning](https://acmccs.github.io/papers/p1285-duA.pdf) - CCS 2017 27 | - [Log Clustering Based Problem Identification for Online Service Systems](https://netman.aiops.org/~peidan/ANM2018/9.LogAnomalyDetection/LectureCoverage/2016ICSE_Log%20Clustering%20based%20Problem%20Identification%20for%20Online%20Service%20Systems%20.pdf) -ICSE 2016 28 | - [Mining Invariants from Logs for System Problem Detection](https://www.usenix.org/legacy/event/atc10/tech/slides/lou.pdf) - USENIX 2010 29 | - [Detecting Large-Scale System Problems by Mining Console Logs](https://icml.cc/Conferences/2010/papers/902.pdf) -SOSP 2009 30 | 31 | 32 | ## log monitoring 33 | 34 | 35 | ## survey 36 | - [Experience Report: System Log Analysis for Anomaly Detection](https://netman.aiops.org/~peidan/ANM2018Fall/6.LogAnomalyDetection/LectureCoverage/2016ISSRE_System%20Log%20Analysis%20for%20Anomaly%20Detection.pdf) -ISSRE 2016 37 | --------------------------------------------------------------------------------