z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom