文章基本信息

标题：Quantitative criteria for recognizing the incorrect behavior of computer network users
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作者：Kuravsky L.S. ; Yuryev G.A. ; Scribtsov P.V. 等
期刊名称：Experimental Psychology (Russia)
印刷版ISSN：2072-7593
电子版ISSN：2311-7036
出版年度：2018
卷号：11
期号：3
页码：19-35
DOI：10.17759/exppsy.2018110302
出版社：Moscow State University of Psychology and Education
摘要：Two approaches for recognizing the incorrect behavior of computer network users are presented. The first one relies on the technique of statistical hypotheses testing and uses self-organizing feature maps (Kohonen networks) for generating target statistics. The second approach recognizes dangerous activity using executed sequences of relevant typical actions, with their dynamics being represented with the aid of Markov chains.
关键词：computer network threats; user activity; self-organizing feature maps; Markov chains