BPTrust: A Novel Trust Inference Probabilistic Model based on Balance Theory for Peer-to-Peer Networks

Authors

  • Zhenhua Tan Northeastern University
  • Liangyu Zhang Northeastern University
  • Guangming Yang Northeastern University

DOI:

https://doi.org/10.5755/j01.eee.18.10.3068

Keywords:

Distributed computing, information security, peer to peer computing

Abstract

In this paper, we propose a novel trust inference model named BPTrust (Balance and Probability based Trust model) based on balance theory and probability theory. Trust relations network, trust inference network and trust inference deep level are defined firstly before modelling. Based on balance theory, two inference rules are proposed, and trusted evidence chains generation algorithm is designed. In terms of a single trusted evidence chain, mathematics models are proposed to infer the trust value of sink node based on Markov chain theory while Bayesian theory is used to design inferring model during multi paths condition. Simulations proved the rightness and effectiveness.

DOI: http://dx.doi.org/10.5755/j01.eee.18.10.3068

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Published

2012-12-10

How to Cite

Tan, Z., Zhang, L., & Yang, G. (2012). BPTrust: A Novel Trust Inference Probabilistic Model based on Balance Theory for Peer-to-Peer Networks. Elektronika Ir Elektrotechnika, 18(10), 77-80. https://doi.org/10.5755/j01.eee.18.10.3068

Issue

Vol. 18 No. 10 (2012)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

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