A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
A Bayesian Model for Event-based Trust
Electronic Notes in Theoretical Computer Science (ENTCS)
ARES '07 Proceedings of the The Second International Conference on Availability, Reliability and Security
Using Trust for Secure Collaboration in Uncertain Environments
IEEE Pervasive Computing
Modeling trust in collaborative information systems
COLCOM '07 Proceedings of the 2007 International Conference on Collaborative Computing: Networking, Applications and Worksharing
An analysis of the exponential decay principle in probabilistic trust models
Theoretical Computer Science
Towards a formal framework for computational trust
FMCO'06 Proceedings of the 5th international conference on Formal methods for components and objects
CONCUR'10 Proceedings of the 21st international conference on Concurrency theory
A trust-augmented voting scheme for collaborative privacy management
STM'10 Proceedings of the 6th international conference on Security and trust management
A formal derivation of composite trust
FPS'12 Proceedings of the 5th international conference on Foundations and Practice of Security
A survey of trust in social networks
ACM Computing Surveys (CSUR)
A trust-augmented voting scheme for collaborative privacy management
Journal of Computer Security - STM'10
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Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern global computing environments. Existing probabilistic trust frameworks either assume fixed behaviour for the principals or incorporate the notion of ‘decay’ as an ad hoc approach to cope with their dynamic behaviour. Using Hidden Markov Models (HMMs) for both modelling and approximating the behaviours of principals, we introduce the HMM-based trust model as a new approach to evaluating trust in systems exhibiting dynamic behaviour. This model avoids the fixed behaviour assumption which is considered the major limitation of existing Beta trust model. We show the consistency of the HMM-based trust model and contrast it against the well known Beta trust model with the decay principle in terms of the estimation precision.