期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：267
期号：4
页码：1-10
DOI：10.1088/1755-1315/267/4/042061
出版社：IOP Publishing
摘要：In order to solve the problem of insufficient use of sequence information and low detection efficiency of traditional anomaly detection methods, this paper introduces Markov chain into user behaviour sequence detection, and proposes a description based on Markov chain and support vector data field ( SVDD) User Behaviour Sequence Detection Method (ASDMS), which first uses the Markov chain to accurately quantify the user behaviour sequence, then constructs the user's normal behaviour sequence model based on the support vector data field description model, and identifies the user anomaly behaviour. The experimental results show that the ASDMS method has better performance and timeliness than the traditional abnormal behaviour detection method.
