Log Anomly Detection

[mai1x9]

• Task is to given a set of log daa, we need to clasify the logs based on the data. This includes
• Log abnormal or anomly log points, Clustering of the logs and log patterns. We have total 3 tasks over here.

Libraries

• loglizer: https://github.com/logpai/loglizer
• https://github.com/AICoE/log-anomaly-detector
• Advanced log AI: https://github.com/salesforce/logai
• logbert but thsi is on hdfs, bgl and tbird logs. https://github.com/HelenGuohx/logbert
• log pattern:https://github.com/trungdq88/logmine
• deeplog: https://github.com/Thijsvanede/DeepLog
• deep loglizer: https://github.com/logpai/deep-loglizer
• Another framework has multiple tools: https://github.com/LogIntelligence/LogADEmpirical/tree/master/logadempirical/loglizer/models
• LSTM based log anaomaly detection: https://github.com/autumn0409/Log-based-Anomaly-Detection-System and https://github.com/DepressedSage/Log-Anomaly-Detection-using-Deep-Learning