期刊名称：International Journal of Wireless & Mobile Networks
印刷版ISSN：0975-4679
电子版ISSN：0975-3834
出版年度：2017
卷号：9
期号：3
页码：1
DOI：10.5121/ijwmn.2017.9301
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper deals with detection of SYN flooding attacks which are the most common type of attacks in aMobile Agent World. We propose a new framework for the detection of flooding attacks by integratingDivergence measures over Sketch data structure. We compare three divergence measures (HellingerDistance, Chi-square and Power divergence) to analyze their detection accuracy. The performance of theproposed framework is investigated in terms of detection probability and false alarm ratio. We focus ontuning the parameter of Divergence Measures to optimize the performance. We conduct performanceanalysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks.Our experimental results show that Power Divergence outperforms Chi-square divergence and Hellingerdistance in network anomalies detection in terms of detection and false alarm.
关键词：Mobile Agents; SYN flooding; Hellinger Distance; Chi-square; Power Divergence; Sketch Technique; IP;Networks
