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We propose a novel technique for detecting P2P botnets. Detection is based on two working principles. First, we exploit a {\bf fundamental property} of botnet design: peer-to-peer connectivity topologies are fundamental to botnet survivability. Second, we use traffic-flow pattern analysis to capture traffic similarity within a botnet. Our work unifies graph-theoretic detection with behavioural detection into a single technique. We carried out evaluation over live P2P botnet traffic and show that the resulting algorithm can localise the majority of bots with low false-positive rate

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