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Keyword: DDoS detection; destination IP entropy; unexpected traffic; membership function Abstract. Put forward a DDoS (Distributed Deny of Service) attack detection algorithm based on IP entropy model. Through the establishment of destination IP Entropy model, setting flow and entropy threshold with membership function, checking conditions of DDoS attacks step by step. The experimental results show that the algorithm can accurately detect DDoS attacks, and it can accurately distinguish DDoS flow and unexpected traffic, which has improved the detection rate and detection efficiency.

DDoS Attack Detection Algorithm Based on IP Entropy Model