Adaptive Anomaly Detection of Computer System User's Behavior Applying Markovian Chains with Variable Memory Length. Part I. Adaptive Model of Markovian Chains with Variable Memory Length

Nataliya N. Kussul; Artem M. Sokolov

doi:10.1615/JAutomatInfScien.v35.i6.10

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Home > Journals > Journal of Automation and Information Sciences > Volume 35, 2003 Issue 6 > Adaptive Anomaly Detection of Computer System User's Behavior Applying Markovian Chains with Variable Memory Length. Part I. Adaptive Model of Markovian Chains with Variable Memory Length

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ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v35.i6.10
9 pages

Adaptive Anomaly Detection of Computer System User's Behavior Applying Markovian Chains with Variable Memory Length. Part I. Adaptive Model of Markovian Chains with Variable Memory Length

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

ABSTRACT

A new method of anomaly detection in computer systems is proposed. It is based on an adaptive modification of Markovian chains model with a variable memory length. At the first part the adaptive Markovian model with variable memory length is justified.