Title
Accurate Detection Of Peer-To-Peer Botnet Using Multi-Stream Fused Scheme
Keywords
Decentralized botnet; Discrete Kalman filter; Hurst; Multi-chart CUSUM; Peer to peer
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. © 2011 ACADEMY PUBLISHER.
Publication Date
5-1-2011
Publication Title
Journal of Networks
Volume
6
Issue
5
Number of Pages
807-814
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.4304/jnw.6.5.807-814
Copyright Status
Unknown
Socpus ID
79955941151 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79955941151
STARS Citation
Kang, Jian; Song, Yuan Zhang; and Zhang, Jun Yao, "Accurate Detection Of Peer-To-Peer Botnet Using Multi-Stream Fused Scheme" (2011). Scopus Export 2010-2014. 3500.
https://stars.library.ucf.edu/scopus2010/3500