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http://dx.doi.org/10.9708/jksci.2017.22.03.069

Comparison and Analysis of P2P Botnet Detection Schemes  

Cho, Kyungsan (Dept. of Software Science, Dankook University)
Ye, Wujian (School of Information Engineering, GuangDong University of Technology)
Publication Information
Journal of the Korea Society of Computer and Information / v.22, no.3, 2017 , pp. 69-79 More about this Journal
Abstract
In this paper, we propose our four-phase life cycle of P2P botnet with corresponding detection methods and the future direction for more effective P2P botnet detection. Our proposals are based on the intensive analysis that compares existing P2P botnet detection schemes in different points of view such as life cycle of P2P botnet, machine learning methods for data mining based detection, composition of data sets, and performance matrix. Our proposed life cycle model composed of linear sequence stages suggests to utilize features in the vulnerable phase rather than the entire life cycle. In addition, we suggest the hybrid detection scheme with data mining based method and our proposed life cycle, and present the improved composition of experimental data sets through analysing the limitations of previous works.
Keywords
P2P botnet detection; life cycle; machine learning; data sets;
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