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This article is cited in 1 scientific paper (total in 1 paper)
Computer science
DDoS attack detection using fuzzy neural network
I. I. Slepovicheva, P. V. Irmatovb, M. S. Komarovab, A. A. Bezhinb a Saratov State University, Chair of Theoretical Basics of Computer Security and Cryptography
b Volga Regional Center of New Informational Technologies,
Department of Informational Resources and Systems
Abstract:
In this article we analyze SYN Flood type of DDoS attack. We suggest method to detect this attack using a fuzzy neural network. Also we introduce modified back-propagation algorithm for neural network teaching.
Key words:
DDoS, SYN Flood, fuzzy neural network, back-propagation algorithm.
Citation:
I. I. Slepovichev, P. V. Irmatov, M. S. Komarova, A. A. Bezhin, “DDoS attack detection using fuzzy neural network”, Izv. Saratov Univ. Math. Mech. Inform., 9:3 (2009), 84–89
Linking options:
https://www.mathnet.ru/eng/isu67 https://www.mathnet.ru/eng/isu/v9/i3/p84
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Abstract page: | 1948 | Full-text PDF : | 598 | References: | 64 | First page: | 1 |
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