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Accurate Detection of Peer-to-Peer Botnet using Multi-Stream Fused Scheme
Journal Title Journal of Networks
Journal Abbreviation jnw
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title Accurate Detection of Peer-to-Peer Botnet using Multi-Stream Fused Scheme
Authors Kang, Jian; Zhang, Jun-Yao; Song, Yuan-Zhang
Abstract Nowadays decentralized botnets pose a great threat to Internet. They evolve new features such as P2P Command and Control(C&C), which makes traditional detection methods no longer effective for indicating the existence of the bots. In this paper, based on several of the new P2P botnet characteristic properties, we propose a novel real-time detecting model – MSFM (Multi-Stream Fused Model). MSFM considers multiple types of packets’ unique characteristics and handle them with corresponding strategies. Extensive experiment results show that our model can accurately detect peer-to-peer botnet with relatively low false-positive and false-negative rates.
Publisher ACADEMY PUBLISHER
Date 2011-05-04
Source Journal of Networks Vol 6, No 5 (2011): Special Issue: Nomadic Services and Applications
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