Article

Article title METHOD OF DETECTION OF DISTRIBUTED INFORMATION IMPACTS ON THE BASIS OF HYBRID NEURAL NETWORK
Authors E.S. Abramov, I.D. Sidorov
Section SECTION II. SECURITY OF INFORMATION SYSTEMS AND NETWORKS
Month, Year 11, 2009 @en
Index UDC 681.324
DOI
Abstract Described the method of probabilistic suffix trees for detecting anomalous behavior of programs. Use "fingerprint" of the normal behavior of applications in order to further detect anomalous behavior as something deviating from the model. As a basic model uses a probabilistic suffix trees.

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Keywords Probabilistic suffix tree; PST; detection of abnormal behavior.
References 1. Cannady, J. (1998) Applying Neural Networks to Misuse Detection. Proceedings of the 21st National Information Systems Security conference. P. 368 – 381.
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3. Райан Д., Менг-Джанг Лиин Обнаружение атак с помощью нейросетей.- Режим доступа [http://neurnews.iu4.bmstu.ru/, свободный], 03.12.2009.

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