A Novel Peer-to-Peer Intrusion Detection System

  • Authors:
  • Kun Xiao;Ji Zheng;Xin Wang;Xiangyang Xue

  • Affiliations:
  • Software School,Fudan University, Shanghai, China;Software School,Fudan University, Shanghai, China;Dept. of Computer Science and Engineering, Fudan University, Shanghai, China;Dept. of Computer Science and Engineering, Fudan University, Shanghai, China

  • Venue:
  • PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
  • Year:
  • 2005

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Abstract

MANETs are composed of mobile nodes without any infrastructure and nodes cooperate to set up routes for network communications. Because of these characters, MANETs operate in open medium, so they are particularly vulnerable to intrusions. In this paper, we present an efficient intrusion detection system called MAPIDS (Mobile Agent-based Peer-to-peer Intrusion Detection System). On detecting a suspicious activity, MAPIDS initiates a voting approach to make a collective decision and take further action. In contrast to other intrusion detection system based on collective decision, MAPIDS saves more bandwidth and energy and it is immune to sparse nodes problem.