P2P Appliance Calculation Method For Trust between Nodes

TL;DR

This paper proposes a fuzzy logic-based trust model for semantic networks to improve machine-to-machine trust assessment and path selection in web service environments.

Contribution

It introduces a novel trust calculation method using fuzzy logic within semantic networks, addressing trust issues in web-based machine interactions.

Findings

Trust aggregation based on past interactions improves path selection.

The model effectively distinguishes trust, untrust, and distrust in semantic networks.

Application demonstrates enhanced trust evaluation in communication algorithms.

Abstract

Modern ways of communications, such as in a web services environment, also influences trust relationships between organisations. This concept of web-based (way towards semantic web services) trust is new and has as yet not been resolved. We hope that some of the trust properties mentioned above can be successfully employed to improve the understanding of trust between machines. So, trust is a vital ingredient of any successful interaction between individuals, among organizations and/or in society at large. In this paper, we suggested a trust model using fuzzy logic in semantic network of nodes. Trust is an aggregation of consensus given a set of past interaction among nodes (semantic network based on machines, agents etc.). We applied our suggested model to semantic networks in order to show how trust mechanisms are involved in communicating algorithm to choose the proper path from source to destination. Authors use the terms untrust and distrust as synonyms for the condition opposite to the trust.