Modeling and defending against adaptive bittorrent worms in peer-to-peer networks

J. Luo, Bin Xiao, Q. Xiao, Jiannong Cao, M. Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.
Original languageEnglish
Article number5
JournalACM Transactions on Autonomous and Adaptive Systems
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Jan 2014

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science (miscellaneous)
  • Software

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