The role of trust management in distributed systems security
Secure Internet programming
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
A Bias-tuned Dishonesty-resistant Reputation Evaluation Method for Trust Establishment in Grid
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
A pervasive P3P-based negotiation mechanism for privacy-aware pervasive e-commerce
Decision Support Systems
Towards reliable and trustworthy cooperation in grid: a pre-evaluating set based trust model
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
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Reputation provides an operable metric for trust establishment between unknown entities in Grid. Yet, most reputation evaluation methods rarely analyze an entity's past behaviors, which is a deviation from the definition of reputation: an expectation for future behaviors based on past behavior information. Therefore, we propose this behavior-based method for reputation evaluation. The main idea is that: according to reputation evidences from third parties, behavior characteristics such as behavior coherence, behavior inertia etc will be well abstracted, and reputation evaluation will be better guided. Experimental results show that: this method can effectively characterize an entity's behavior, and the final reputation result is reasonable and reliable.