Cite this article as:

Slepovichev I. I., Irmatov . V., Komarova M. S., Bezhin А. А. DDoS Attack Detection Using Fuzzy Neural Network. Izv. Saratov Univ. (N. S.), Ser. Math. Mech. Inform., 2009, vol. 9, iss. 3, pp. 84-89. DOI: https://doi.org/10.18500/1816-9791-2009-9-3-84-89

Language: 
Russian
Heading: 
Computer Sciences
UDC: 
519.71

DDoS Attack Detection Using Fuzzy Neural Network

Authors: 
Slepovichev Ivan Ivanovich, Saratov State University, Russia, Saratov, Astrakhanskaya 83 , gurgutan@yandex.ru
Irmatov P. V. , Saratov State University, Russia, Saratov, Astrakhanskaya 83 , welecat@gmail.com
Komarova Mariya Sergeevna, Saratov State University 1, Saratov State University, Russia, 410012, Saratov, Astrahanskaya st., 83 , welecat@gmail.com
Bezhin А. А., Volga Regional Center of New Informational Technologies, Астраханская ул., 83, Саратов, Саратовская обл., 410012 , karteron@yahoo.com
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
DOI: 
https://doi.org/10.18500/1816-9791-2009-9-3-84-89
References

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