A Semantic-Aware Ontology-Based Trust Model for Pervasive Computing Environments
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
A trust model based on fuzzy recommendation for mobile ad-hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Implementing DRM over peer-to-peer networks with broadcast encryption
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Managing data for evaluating trust in unstructured peer-to-peer networks
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
A fuzzy approach to reasoning with trust, distrust and insufficient trust
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
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Peer-to-peer (P2P) systems are based upon the cooperative interactions of member peers. Typically, peers are both autonomous and self-interested, meaning that there is no hierarchy of control or power, and that individuals seek to maximise their own goal achievement, rather than acting in a benevolent or socially-oriented manner. Consequently, interaction outcomes are uncertain, since peers can break their commitments or provide sub-standard contributions or services. Thus, when a peer cooperates it is entering into an uncertain interaction, that has an associated risk of failure or reduced performance. For peers to be effective they need some mechanism for managing this risk of failure. In this paper we show how peers can use trust to manage this risk. Our model of trust uses fuzzy logic to allow peers to represent and reason with uncertain and imprecise information regarding others' trustworthiness.