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Trudy SPIIRAN, 2012, Issue 23, Pages 93–99
(Mi trspy542)
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This article is cited in 1 scientific paper (total in 1 paper)
Correlation analysis of abnormal network traffic
R. R. Fatkieva St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
The paper deals with the simulation methods of information system behavior. Attention is paid to the difficulties of dynamic system models application which are accounted for functional dependence of temporal distribution on a large number of parameters as well as for the lack of initial data. An approach to attack detection is proposed on the basis of analysis of deviation from autocorrelation function
Keywords:
network traffic, attacks, autocorrelation function.
Received: 05.10.2012
Citation:
R. R. Fatkieva, “Correlation analysis of abnormal network traffic”, Tr. SPIIRAN, 23 (2012), 93–99
Linking options:
https://www.mathnet.ru/eng/trspy542 https://www.mathnet.ru/eng/trspy/v23/p93
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Statistics & downloads: |
Abstract page: | 380 | Full-text PDF : | 246 | References: | 46 | First page: | 1 |
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