PeerCredential: a reputation-based trust framework for Peer-to-Peer applications

  • Authors:
  • Zhen Yu;William Sears;Yong Guan

  • Affiliations:
  • Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA.;Ames Laboratory, Ames, Iowa 50011, USA.;Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa 50011, USA

  • Venue:
  • International Journal of Information and Computer Security
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In peer-to-peer (P2P) applications, peers (i.e., users) often have to request services from some unfamiliar peers (i.e., resources) that could be altruistic, selfish, or even malicious. We propose a reputation-based trust framework PeerCredential to motivate selfish peers to cooperate and minimise the risk from malicious peers. We use reputation to measure quality of resources' services and trust to quantify trustworthiness of peers. We also design a number of strategies for economic resources to maximise their profit. Simulation results show the framework motivates economic resources to provide high-quality services and effectively differentiates malicious resources from normal ones.