A bias-tuned dishonesty-resistant reputation evaluation method for trust establishment in grid

In grid, cooperation often occurs between unknown entities. To guarantee smooth and reliable ongoing of such cooperation, reliable trust relationship must be established between them. With wide application in electronic commerce and online communities, reputation mechanism emerges as a promising sol...

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Bibliographic Details
Published in12th International Conference on Parallel and Distributed Systems - (ICPADS'06) Vol. 1; p. 8 pp.
Main Authors Xiangli Qu, Xuejun Yang, Wei Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Collaboration
Computer science
Credit cards
Electronic commerce
Filters
Humans
Information analysis
Resource management
Scalability
Technology planning
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Summary:In grid, cooperation often occurs between unknown entities. To guarantee smooth and reliable ongoing of such cooperation, reliable trust relationship must be established between them. With wide application in electronic commerce and online communities, reputation mechanism emerges as a promising solution, where a scientific reputation evaluation method is crucial. Yet, most methods currently available do not consider grid's distinct characteristics such as the sparseness of ratings and strangeness of entities, which are not feasible to grid. In this paper, we propose a bias-tuned dishonesty-resistant reputation evaluation method for trust establishment in grid. What distinguishes our trust model is the introduction of a pre-evaluating set, with which we can reasonably filter out malicious ratings, effectively tune a rater's bias to cater to the current evaluator's criteria and scientifically weight a rater's rating in aggregation
ISBN:9780769526126
0769526128
ISSN:1521-9097
2690-5965
DOI:10.1109/ICPADS.2006.9