Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
ICIS '00 Proceedings of the twenty first international conference on Information systems
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Eliciting Truthful Feedback for Binary Reputation Mechanisms
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
PET: A PErsonalized Trust Model with Reputation and Risk Evaluation for P2P Resource Sharing
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 07
TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks
WWW '05 Proceedings of the 14th international conference on World Wide Web
Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A survey of trust and reputation systems for online service provision
Decision Support Systems
A probabilistic trust model for handling inaccurate reputation sources
iTrust'05 Proceedings of the Third international conference on Trust Management
Towards pre-standardization of trust and reputation models for distributed and heterogeneous systems
Computer Standards & Interfaces
LFTM, linguistic fuzzy trust mechanism for distributed networks
Concurrency and Computation: Practice & Experience
Bio-inspired enhancement of reputation systems for intelligent environments
Information Sciences: an International Journal
Journal of Network and Systems Management
Credible recommendation exchange mechanism for P2P reputation systems
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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This research promotes MTrust a reputation-based trust model that will ensure cooperative interactions amongst mobile agents and visited hosts in a mobile agent system. MTrust is composed of a reputation system and a trust formation system. A reputation system relies on two components; a truthful feedback submission algorithm and a set of distributed feedback information storages. A trust formation system enables a truster to compute a trustee’s trustworthiness. It has two components namely; a feedback aggregation module (FAM) and a trust computing module (TCM). A FAM calculates a trust value from feedback information when there is a lack of direct experiences using Beta distribution. A TCM calculates a trust value using Bayesian Network (BN).