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P2P worm detection based on application identification

  • Chunhe Xia*
  • , Yunping Shi
  • , Xiaojian Li
  • , Wei Gao
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

P2P worm exploits common vulnerabilities and spreads through peer-to-peer networks. Despite being recognized as a potential and deadly threat to the Internet recently, few relevant countermeasures are found in extant literature. Once it breaks out, a P2P worm could result in unpredictable losses. Based on propagation characteristics of the worm, this paper presents a detection method called PWD (P2P Worm Detection), which is designed based on application identification and unknown worm detection. Simulation result and LAN-environment experiment result both indicate that PWD is an effective method to detect and block P2P worms.

Original languageEnglish
Pages (from-to)114-122
Number of pages9
JournalFrontiers of Computer Science in China
Volume1
Issue number1
DOIs
StatePublished - Feb 2007

Keywords

  • Application identification
  • P2P worm
  • Worm detection

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