The anatomy of a context-aware application
Wireless Networks - Selected Papers from Mobicom'99
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Adaptive middleware for context-aware applications in smart-homes
MPAC '04 Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing
Decentralized trust management for ad-hoc peer-to-peer networks
Proceedings of the 4th international workshop on Middleware for Pervasive and Ad-Hoc Computing (MPAC 2006)
Can Self-managed systems be trusted?: Some views and trends
The Knowledge Engineering Review
Service sharing with trust in pervasive environment: now it's time to break the jinx
Proceedings of the 2008 ACM symposium on Applied computing
Journal of Systems and Software
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When ubiquitous computing devices access a context-awareness service, such as a location service, they need some assurance that the quality of the information received is trustworthy. However, the trustworthiness of a service cannot be determined by the service itself, but must be decided externally to the service. Furthermore, the trustworthiness of a service provider may be dynamic, depending on current environmental conditions. We propose a learning model that uses binarypositive/negative feedback from service consumers and cross-validation with other service providers to adjust the dynamic trustworthiness of a service provider.