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An adaptive detection of anomalies in user's behavior

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1 Author(s)
Sokolov, A.M. ; Int. Res. & Training Center of Informational Technol. & Syst., Kiev, Ukraine

We propose an adaptive approach to modeling user's behavior in computer anomaly detection systems. As a base model, Markov chains with variable memory length are used. An adaptive version of the algorithm constructing a model that takes into account changes in user's behavior is introduced. Experimental testing of the proposed approach is also provided.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:4 )

Date of Conference:

20-24 July 2003