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 multi-layer 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. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Wu, J., Wang, X., Lee, X., & Yan, B. (2010). Detecting DDoS attack towards DNS server using a neural network classifier. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6354 LNCS, pp. 118–123). https://doi.org/10.1007/978-3-642-15825-4_15
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