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Survey on anomaly detection technology based on logs

Authors :
ZHANG Yingjun, ZHANG Haixia, HUANG Kezhen
LIU shangqi, YANG Mu
Source :
网络与信息安全学报, Vol 6, Iss 6, Pp 1-12 (2020)
Publication Year :
2020
Publisher :
POSTS&TELECOM PRESS Co., LTD, 2020.

Abstract

Log information has become an important information resource in the rapid development of information systems. Through the analysis of logs, abnormal detection, fault diagnosis and performance diagnosis can be performed. The log-based anomaly detection technology was focused on. Firstly, the currently used log-based anomaly detection framework was introduced, and then the key link technologies such as log analysis and log anomaly detection were focused on. Finally, the current technology was summarized and suggestions for future research directions were given.

Details

Language :
English, Chinese
ISSN :
2096109x and 2096109X
Volume :
6
Issue :
6
Database :
Directory of Open Access Journals
Journal :
网络与信息安全学报
Publication Type :
Academic Journal
Accession number :
edsdoj.8e3d1a9483cd49119a62bfcb2ffcab6a
Document Type :
article
Full Text :
https://doi.org/10.11959/j.issn.2096-109x.2020072