A framework for modeling transfer protocols
Computer Networks: The International Journal of Computer and Telecommunications Networking
Communications of the ACM
The Socio-cognitive Dynamics of Trust: Does Trust Create Trust?
Proceedings of the workshop on Deception, Fraud, and Trust in Agent Societies held during the Autonomous Agents Conference: Trust in Cyber-societies, Integrating the Human and Artificial Perspectives
A Dynamic Trust Model for Mobile Ad Hoc Networks
FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
Developing a Model for Trust Management in Pervasive Devices
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
A survey of trust and reputation systems for online service provision
Decision Support Systems
Multilateral Secure Cross-Community Reputation Systems for Internet Communities
TrustBus '08 Proceedings of the 5th international conference on Trust, Privacy and Security in Digital Business
An Evolutionary Trust and Distrust Model
Electronic Notes in Theoretical Computer Science (ENTCS)
Temporal logic-based specification and verification of trust models
iTrust'06 Proceedings of the 4th international conference on Trust Management
Towards the integration of reputation management in OpenID
Computer Standards & Interfaces
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Deciding who to trust in the internet of services paradigm is an important and open question. How to do it in an optimal way is not always easy to determine. Trust is usually referred to a particular context whereas a single user may interact in more than one given context. We are interested in investigating how a Federated Reputation System can help exporting trust perceptions from one context to another. We propose a model for deriving trust in online services. In this context, trust is defined as the level of confidence that the service provider holds on the subject interacting with it to behave in a proper way while using the service. Thus, we derive trust by using the reputation values that those users have gained for interacting with these services.