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A Scalable DDoSDetection Framework with Victim Pinpoint Capability
2011
Journal of Communications
In recent years, various intrusion detection and prevention systems have been proposed to detect DDoS attacks and mitigate the caused damage. However, many existing IDS systems still keep per-flow state to detect anomaly, and thus do not scale with link speeds in multigigabit networks. In this paper, we present a two-level approach for scalable and accurate DDoS attack detection by exploiting the asymmetry in the attack traffic. In the coarse level, we use a modified count-min sketch (MCS) for
doi:10.4304/jcm.6.9.660-670
fatcat:tolm6hufjjguvilpzypqfh2iam