Distributed Trust Inference Model Based on Probability and Balance Theory for Peer-to-Peer Systems

Provided by: International Journal on Smart Sensing and Intelligent Systems
Topic: Security
Format: PDF
Researchers have done much around how to measure trust degrees or levels by local and global style in a given distributed network. However, how to infer trust degree for a strange node efficiently in a large-scale distributed environment was little done. This paper focuses on this problem, and proposes a novel trust model based on balance theory and probability theory. The authors firstly design a simple direct trust model for evidence computing, then construct trust relations network and trust inference network based on direct trust network.

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