Botyacc:unified P2P botnet detection using behavioural analysis and graph analysis

Nagaraja, Shishir (2014) Botyacc:unified P2P botnet detection using behavioural analysis and graph analysis. In: Computer Security - ESORICS 2014. Lecture Notes in Computer Science . Springer, pp. 439-456. ISBN 9783319112114

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Abstract

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.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
ID Code:
72844
Deposited By:
Deposited On:
02 Feb 2015 13:03
Refereed?:
Yes
Published?:
Published
Last Modified:
03 Jun 2020 08:53