A distributed framework for passive worm detection and throttling in P2P networks

  • Authors:
  • Muhammad Adeel;Laurissa Tokarchuk;Laurie Cuthbert;Chao-sheng Feng;Zhi-guang Qin

  • Affiliations:
  • Queen Mary, University of London, School of Electronic Engineering and Computer Science, London;Queen Mary, University of London, School of Electronic Engineering and Computer Science, London;Queen Mary, University of London, School of Electronic Engineering and Computer Science, London;School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan, China;School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu Sichuan, China

  • Venue:
  • CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We analyse different worm and patch propagation models along with the ones we have developed and evaluated as a part of our ongoing passive P2P worm & patch modelling project. This is followed by a brief discussion on worm detection mechanisms proposed by various authors. Towards the very end of this article, we propose a distributed framework for passive worm throttling in P2P networks and discuss its feasibility and efficiency keeping in view different design considerations.