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WWW
2009
ACM

Towards lightweight and efficient DDOS attacks detection for web server

15 years 10 months ago
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. Categories and Subject Descriptors C.2.0 [Computer-Communication Network]: Security and Protection General Terms Security, Algorithms Keywords Web server anomaly detection, E-FCM algorithm, TCM-KNN algorithm, Instance selection
Li Guo, Qin-Wu Nie, Tianbo Lu, Yang Li, Zhihong Ti
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2009
Where WWW
Authors Li Guo, Qin-Wu Nie, Tianbo Lu, Yang Li, Zhihong Tian
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