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  Previous issue (2022. Vol. 15, no. 1)


Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036


License: CC BY-NC 4.0

Published since 2008

Published quarterly

Free of fees
Open Access Journal


Quantitative criteria for recognizing the incorrect behavior of computer network users 763


Kuravsky L.S.
Doctor of Engineering, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia

Yuryev G.A.
PhD in Physics and Matematics, Associate Professor, Head of Scientifi c Laboratory, Moscow State University of Psychology and Education, Moscow, Russia

Scribtsov P.V.
PhD in Engineering, General Director, Pavlin Techno, Moscow, Russia

Chervonenkis M.A.
Leading Researcher, Pavlin Techno, Moscow, Russia

Konstantinovsky A.A.
Student, Faculty of Information Technology, Moscow State University of Psychology & Education, Moscow, Russia

Shevchenko A.A.
Master Student, Faculty of Information Technology, Moscow State University of Psychology & Education, Moscow, Russia

Isakov S.S.
Master, Faculty of Information Technology, Moscow State University of Psychology & Education, Moscow, Russia

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.

Keywords: computer network threats, user activity, self-organizing feature maps, Markov chains

Column: Mathematical Psychology


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