BPTrust: A Novel Trust Inference Probabilistic Model based on Balance Theory for Peer-to-Peer Networks
Keywords:Distributed computing, information security, peer to peer computing
AbstractIn 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.
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
SYSTEM ENGINEERING, COMPUTER TECHNOLOGY
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.