Research on System Log Anomaly Detection Combining Two-way Slice GRU and GA-Attention Mechanism

A wide variety of logs are generated during the running of the system, which record the state of the system at runtime and the various operations performed by the system. They are good sources of information for online monitoring and exception detection. Therefore, it is important to detect the anomaly logs in the system quickly and accurately to maintain the security and stability of the system. This paper presents a log anomaly detection algorithm based on Bi-SSGRU-Ga-Attention, which has the advantages of simple parameters and fast convergence. It reduces the running time and achieves high accuracy. It has achieved good results in log analysis of large information systems.