FR trust: a fuzzy reputation–based model for trust management in semantic P2P grids. (19th December 2014)

• Record Type: Journal Article
• Authors: Javanmardi, Saeed; Shojafar, Mohammad; Shariatmadari, Shahdad; Ahrabi, Sima S.
• Is Part Of: International journal of grid and utility computing. Volume 6:Number 1(2015)
• Page Start: 57
• Page End: 66
• Publication Date: 2014-12-19
• Subjects: fuzzy theory -- ontology -- P2P grids -- peer–to–peer -- fuzzy modelling -- reputation modelling -- trust management -- semantic grids -- fuzzy logic -- trust overlay networks -- network structure -- reputation information storage -- grid networks; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

A P2P grid is a special case of grid networks in which P2P communications are used for communication between nodes and trust management. This technology allows creation of a network with greater distribution and scalability. Semantic grids have appeared as an expansion of grid networks in which rich resource metadata are revealed and clearly handled. In a semantic P2P grid, nodes are clustered into different groups based on the semantic similarities between their services. This paper proposes a reputation model for trust management in a semantic P2P grid. We use fuzzy theory, in a trust overlay network named FR TRUST that models the network structure and the storage of reputation information. We present a reputation collection and computation system for semantic P2P grids. The system uses fuzzy theory to compute a peer trust level, which can be either: low, medium, or high. Experimental results demonstrate that FR TRUST combines desirable good computational complexity with high–ranking accuracy.