Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19916
Title: Modeling and defending against adaptive bittorrent worms in peer-to-peer networks
Authors: Luo, J
Xiao, B 
Xiao, Q
Cao, J 
Guo, M
Issue Date: 2014
Publisher: Association for Computing Machinery
Source: ACM Transactions on autonomous and adaptive systems, 2014, v. 9, no. 1, 5 How to cite?
Journal: ACM Transactions on Autonomous and Adaptive Systems 
Abstract: In this article, we present a novel P2P worm, called Adaptive BitTorrent worm (A-BT worm), in BT-like networks, which propagates itself by requesting a tracker for vulnerable peers. We believe that such a worm could pose a vital threat to the P2P security for the following reasons: (1) it has the ability to locate most recent active peers; (2) it is easy to be implemented; (3) it can adaptively adjust its speed to reduce its abnormal behavior. By combining the fluid model with the epidemic model, we build a hybrid model to measure the worm damage. We also discuss the possible strategies to detect and contain the worm.
URI: http://hdl.handle.net/10397/19916
ISSN: 1556-4665
DOI: 10.1145/2567925
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