Journal of Jilin University Science Edition

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Analysis of Botnet Detection Technique Based on Traffic Graph

HE Yukun, LI Qiang, JI Yuede, GUO Dong   

  1. College of Computer Science and Technology, Key Laboratory of Symbol Computation andKnowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, China
  • Received:2012-10-08 Online:2013-07-26 Published:2013-08-06
  • Contact: LI Qiang E-mail:li_qiang@jlu.edu.cn

Abstract:

We presented the structures and characteristics of Botnet communication graphs in several common protocols. We compared and analyzed their functions and mechanisms and then summarized some recent researches of Botnet detection methods based on traffic graph. We further made a comparative analys
is of their application environments, experimental data and results, the advantages and disadvantages of the methods. In the end, we proposed some possible improvements for Botnet detection.

Key words: Botnet, traffic graph, Bot detection, network security

CLC Number: 

  • TP393