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Zbl 1189.68114
Li, Ming; Zhao, Wei
Detection of variations of local irregularity of traffic under DDOS flood attack. (English)
[J] Math. Probl. Eng. 2008, Article ID 475878, 11 p. (2008). ISSN 1024-123X; ISSN 1563-5147/e

Summary: The aim of Distributed Denial-Of-Service (DDOS) flood attacks is to overwhelm the attacked site or to make its service performance deterioration considerably by sending flood packets to the target from the machines distributed all over the world. This is a kind of local behavior of traffic at the protected site because the attacked site can be recovered to its normal service state sooner or later even though it is in reality overwhelmed during attack. From a view of mathematics, it can be taken as a kind of short-range phenomenon in computer networks. In this paper, we use the Hurst parameter (H) to measure the local irregularity or self-similarity of traffic under DDOS flood attack provided that fractional Gaussian noise (fGn) is used as the traffic model. As flood attack packets of DDOS make the H value of arrival traffic vary significantly away from that of traffic normally arriving at the protected site, we discuss a method to statistically detect signs of DDOS flood attacks with predetermined detection probability and false alarm probability.

MSC 2000:: *68T10 Pattern recognition
93E10 Estimation and detection in stochastic control
37N99 Applications of dynamical systems

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