Adaptive Anomaly Detection in the Behavior of Computer Systems Users on the Basis of Markov Chains of Variable Order. Part II. Anomaly Detection Methods and Experimental Results

Nataliya N. Kussul; Artem M. Sokolov

doi:10.1615/JAutomatInfScien.v35.i8.10

Journal of Automation and Information Sciences

Editor chefe: Arkadiy A. Chikriy (open in a new tab)

Editor associados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicou 12 edições por ano

ISSN Imprimir: 1064-2315

ISSN On-line: 2163-9337

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Adaptive Anomaly Detection in the Behavior of Computer Systems Users on the Basis of Markov Chains of Variable Order. Part II. Anomaly Detection Methods and Experimental Results

Volume 35, Edição 8, 2003, 5 pages

DOI: 10.1615/JAutomatInfScien.v35.i8.10

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Nataliya N. Kussul
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev, Ukraine

Artem M. Sokolov
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science, Kyiv, Ukraine

RESUMO

Several ways to deal with behavior anomalies of computer system users and new methods of replay-attacks detection are suggested. They are based on the model developed in the first part of the paper.

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