Review of Anomaly Detection Based on Log Analysis

The development of the Internet and the emergence of large-scale systems promote the rapid development of society, and bring a lot of convenience to people. Then comes the problem of network security, privacy theft, malicious attacks and other illegal acts still exist, a qualified software system wi...

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Published inInternational journal of advanced network, monitoring, and controls Vol. 5; no. 4; pp. 40 - 49
Main Author Wu, Xudong
Format Journal Article
LanguageEnglish
Published Xi'an Sciendo 01.01.2020
De Gruyter Poland
Subjects
Anomaly Detection
Big Data
Computers
Denial of service attacks
Distributed
Distributed processing
Information sources
Internet
Keywords
Log Analysis
Malware
Network security
Software
China
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Summary:The development of the Internet and the emergence of large-scale systems promote the rapid development of society, and bring a lot of convenience to people. Then comes the problem of network security, privacy theft, malicious attacks and other illegal acts still exist, a qualified software system will log the key operation behavior of the software. Therefore, log analysis has become an important means of anomaly detection. Based on log analysis, this paper consulted the related literature on anomaly detection, elaborated the research status of anomaly detection based on log analysis from the aspects of template matching, rule self-generation and outlier analysis, and analyzed the challenges faced by anomaly detection based on log analysis.
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ISSN:2470-8038
2470-8038
DOI:10.21307/ijanmc-2020-036