A detection model based on statistical against DDoS attack

Authors:
Yoon-Ju Kook;Yong-Ho Kim;Jeom-Goo Kim;Kiu-Nam Kim
Affiliations:
Kyonggi University, Seoul, Korea;Kyonggi University, Seoul, Korea;Namseoul University, Chungnam, Korea;Kyonggi University, Seoul, Korea
Venue:
Proceedings of the 2009 International Conference on Hybrid Information Technology
Year:
2009

Citing 2
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Abstract

A development and research for Distributed denial of service attack detection is underway. A statistical technique identified efficiently the normal packets and abnormal packets. In this paper several statistical techniques, using a mix of various offers a way to detect the attack. To verify the effectiveness of the proposed technique, it set packet filtering on router and the proposed DDoS attacks detection method on a Linux router. In result, the proposed technique detected various attacks, provided normal service mostly.