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An Adaptive Reputation-Based Algorithm for Grid Virtual Organization Formation

Yongrui CUI, Mingchu LI, Yizhi REN, Kouichi SAKURAI

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Summary :

A novel adaptive reputation-based virtual organization formation is proposed. It restrains the bad performers effectively based on the consideration of the global experience of the evaluator and evaluates the direct trust relation between two grid nodes accurately by consulting the previous trust value rationally. It also consults and improves the reputation evaluation process in PathTrust model by taking account of the inter-organizational trust relationship and combines it with direct and recommended trust in a weighted way, which makes the algorithm more robust against collusion attacks. Additionally, the proposed algorithm considers the perspective of the VO creator and takes required VO services as one of the most important fine-grained evaluation criterion, which makes the algorithm more suitable for constructing VOs in grid environments that include autonomous organizations. Simulation results show that our algorithm restrains the bad performers and resists against fake transaction attacks and badmouth attacks effectively. It provides a clear advantage in the design of a VO infrastructure.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E92-A No.5 pp.1339-1346
Publication Date
2009/05/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E92.A.1339
Type of Manuscript
PAPER
Category
Graphs and Networks

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