HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log

• Published in: IEEE eTransactions on network and service management Vol. 17; no. 4; pp. 2064 - 2076
• Main Authors: Huang, Shaohan, Liu, Yi, Fung, Carol, He, Rong, Zhao, Yining, Yang, Hailong, Luan, Zhongzhi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anomalies; Anomaly detection; Coders; hierarchical transformers; Indexes; Log data analysis; Maintenance engineering; Mathematical models; Parameters; Runtime; Semantics; Structural hierarchy; Task analysis; Transformers; Transforms

Enterprise systems often produce a large volume of logs to record runtime status and events. Anomaly detection from system logs is crucial for service management and system maintenance. Most existing log-based anomaly detection methods use log event indexes parsed from log data to detect anomalies....