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In recent years, real-time and effective DDoS attack detection system is desired since new application-layer-based DDoS attacks are more undetectable and frequent and the imperceptibility of the attack is increasing. There is therefore a need for a new effective detection for such new DDoS attacks. For the detection of application-layer-based DDoS attacks in Flash Crowd, this paper sets up user activity degree index and proposes a detection method based on Pearson correlation coefficient. The performance of the proposed real-time detection method is tested by the real data from network and has less misjudgment rate.
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