Anomaly Detection on IT logs implementing DeepLog architecture

The use of logs is an essential tool in detecting anomalies in any systems, in many cases this process is a manual, cumbersome and requires the constant monitoring of logs with a human component. This project aim to use DeepLog architecture as a technique for generic log files.

Exploratory Data Analysis

Strategy to getting key parameters for logs

References

• ACM CCS 2017 - DeepLog: Anomaly Detection and Diagnosis from System Logs Min Du