FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids
Author(s) -
Saeed Javanmardi,
Mohammad Shojafar,
Shahdad Shariatmadari,
Sima Sarv Ahrabi
Publication year - 2014
Publication title -
international journal of grid and utility computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.187
H-Index - 20
eISSN - 1741-8488
pISSN - 1741-847X
DOI - 10.1504/ijguc.2015.066397
Subject(s) - computer science , trust management (information system) , reputation , reputation management , fuzzy logic , computer security , artificial intelligence , social science , sociology
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.
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