Jean Tajer, Mo Adda and Benjamin Aziz, University of Portmouth, United Kingdom

This paper deals with detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We conduct performance analysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks. Our analysis results prove that our proposed algorithm outperforms the existing solutions.

Mobile Agents, SYN flooding, Hellinger Distance, Chi-square, Sketch Technique, IP Networks