DocumentCode
1927638
Title
An adaptive detection of anomalies in user´s behavior
Author
Sokolov, Artern M.
Author_Institution
Int. Res. & Training Center of Informational Technol. & Syst., Kiev, Ukraine
Volume
4
fYear
2003
fDate
20-24 July 2003
Firstpage
2443
Abstract
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.
Keywords
Markov processes; security of data; Markov chains; adaptive detection; base model; computer anomaly detection systems; user behavior; Adaptive algorithm; Authentication; Computer security; Cryptography; Frequency conversion; Hidden Markov models; Learning automata; Protection; Resists; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223947
Filename
1223947
Link To Document