Chaos Theory Based Detection against Network Mimicking DDoS Attacks

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Chaos Theory Based Detection against Network Mimicking DDoS Attacks

DDoS attack traffic is difficult to differentiate from legitimate network traffic during transit from the attacker, or zombies, to the victim. In this paper, we use the theory of network self-similarity to differentiate DDoS flooding attack traffic from legitimate self-similar traffic in the network...

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Bibliographic Details
Main Authors:	Chonka, A., Singh, Jaipal, Zhou, W.
Format:	Journal Article
Published:	IEEE Communications Society 2009
Subjects:	anomaly detection chaotic models Distributed denial-of-service (DDoS)
Online Access:	http://hdl.handle.net/20.500.11937/5327

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