An Approach Of Anomaly Diagnosis With Logs For Distributed Services In Communication Network Information System
2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017)(2017)
摘要
Anomaly diagnosis for distributed service plays an important role in communication network information system. Log analysis is the main method to undertake anomaly detection. In order to reduce the manual detection, we propose an anomaly detection method based on the time-weighted control flaw graph model. The border is split by a discrete degree strategy based on analyzing the time interval distribution and the time weight is selected to be k-means. Experiments show that our algorithm has good precision and recall in anomaly diagnosis. In real-world scenarios, it has a precision of 80% and a recall rate of 65% on average.
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关键词
anomaly diagnosis, logs, distributed services, time weight
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