Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A reputation-based approach for choosing reliable resources in peer-to-peer networks
Proceedings of the 9th ACM conference on Computer and communications security
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
A behavior characteristics-based reputation evaluation method for grid entities
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
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Without reliable trust relationship between cooperative parities, the paradigm of large scale resource sharing and cooperated problem-solving as envisioned by most will not come true in Grid. With wide application in Electronic Commerce and online communities, Reputation mechanism emerges as a promising solution for trust establishment in Grid, especially between unknown entities. With little consideration of Grid's distinct characteristics such as the sparseness of ratings and the strangeness of entities, most reputation evaluation methods currently available are not feasible to Grid. In this paper, we propose a pre-evaluating set based bias-tuned method for reputation evaluation in Grid. The introduction of the pre-evaluating set is to track an entity's rating criteria, overcome the sparseness and strangeness mentioned above. With this pre-evaluating set, we can reasonably filter out malicious ratings by examining inconsistency between ratings to this set and to real transactions, effectively tune a rater's bias to cater to the current evaluator's criteria by interpolation approach and scientifically weight a rater's rating in aggregation by the introduction of Criteria Coherent Degree.