Trust Framework for P2P Networks Using Peer-Profile Based Anomaly Technique

  • Authors:
  • Natalia Stakhanova;Samik Basu;Johnny Wong;Oleg Stakhanov

  • Affiliations:
  • Iowa State University;Iowa State University;Iowa State University;Iowa State University

  • Venue:
  • ICDCSW '05 Proceedings of the Second International Workshop on Security in Distributed Computing Systems (SDCS) (ICDCSW'05) - Volume 02
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Popularity of peer-to-peer (P2P) networks exposed a number of security vulnerabilities including the problem of finding reliable communication partners. In this paper, we present an integrated trust framework for P2P networks thatquantifies the trustworthiness of a peer using reputation-based trust mechanism and anomaly detection technique. We describe anomaly detection procedure that analyzes peer activity on the network and flags potentially malicious behavior by detecting deviation from peer profile. We study the performance of our trust framework using simulation and compare it with the existing reputation-based system which does not employ an anomaly detection mechanism.