Towards lightweight and efficient DDOS attacks detection for web server

Authors:
Yang Li;Tian-Bo Lu;Li Guo;Zhi-Hong Tian;Qin-Wu Nie
Affiliations:
China Mobile Research Institute, Beijing, China;National Computer network Emergency Response technical Team/Coordination Center of China, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Hunan University of Science and Technology, Xiangtan, China
Venue:
Proceedings of the 18th international conference on World wide web
Year:
2009

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Abstract

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.