document: Towards lightweight and efficient DDOS attacks detection for web server In this poster , based on our previous work in building a lightweight DDoS ( Distributed Denial-of-Services ) attacks detection mechanism for web server using TCM-KNN ( Transductive Confidence Machines for K-Nearest Neighbors ) and genetic algorithm based instance selection methods , we further propose a more efficient and effective instance selection method , named E-FCM ( Extend Fuzzy C-Means ) . By using this method , we can obtain much cheaper training time for TCM-KNN while ensuring high detection performance . Therefore , the optimized mechanism is more suitable for lightweight DDoS attacks detection in real network environment .
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