Detecting DDoS attack towards DNS server using a neural network classifier

Authors:
Jun Wu;Xin Wang;Xiaodong Lee;Baoping Yan
Affiliations:
China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China;China Network Information Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing, China
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Year:
2010

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Abstract

With the rapid growth of the distributed denial of service (DDoS) attacks, the identification and detection of attacks has become a crucial issue. In this paper we present a neural network approach to detecting the DDoS attacks towards the domain name system. A multilayer feed-forward neural network is employed as a classifier based on the selected features that reflect the characteristics of DDoS attacks. The performance and the computational efficiency of the neural network classifier are both evaluated.