Quantitative criteria for recognizing the incorrect behavior of computer network users

Autor:	P V Scribtsov, A A Shevchenko, S S Isakov, Chervonenkis, A A Konstantinovsky, L S Kuravsky, G A Yuryev
Rok vydání:	2018
Předmět:	Human–computer interaction Computer science
Zdroj:	Experimental Psychology (Russia). 11:19-35
ISSN:	2311-7036 2072-7593
DOI:	10.17759/exppsy.2018110302
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c1fa5fcbde780324ed1d66a84f37a7a https://doi.org/10.17759/exppsy.2018110302 Zobrazit plný text záznamu