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Botyacc: Unified P2P Botnet Detection Using Behavioural Analysis and Graph Analysis

  • Shishir Nagaraja
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8713)

Abstract

The detection and isolation of peer-to-peer botnets is an ongoing problem. We propose a novel technique for detecting P2P botnets. Detection is based on unifying behavioural analysis with structured graph analysis. First, our inference technique exploits a fundamental property of botnet design. Modern botnets use peer-to-peer communication topologies which are fundamental to botnet resilience. Second, our technique extends conventional graph-based detection by incorporating behavioural analysis into structured graph analysis, thus unifying graph-theoretic detection with behavioural detection under a single algorithmic framework. We carried out evaluation over real-world P2P botnet traffic and show that the resulting algorithm can localise the majority of bots with low false-positive rate.

Keywords

Traffic analysis botnet detection behavioural analysis graph theory 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Shishir Nagaraja
    • 1
  1. 1.School of Computer ScienceUniversity of BirminghamUK

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