Service sharing with trust in pervasive environment: now it's time to break the jinx
Proceedings of the 2008 ACM symposium on Applied computing
CAT: a context-aware trust model for open and dynamic systems
Proceedings of the 2008 ACM symposium on Applied computing
Design and implementation of S-MARKS: A secure middleware for pervasive computing applications
Journal of Systems and Software
Trust based security auto-configuration for smart assisted living environments
Proceedings of the 2nd ACM workshop on Assurable and usable security configuration
Journal of Systems and Software
Preventing multi-query attack in location-based services
Proceedings of the third ACM conference on Wireless network security
Architecture and implementation of a trust model for pervasive applications
Journal of Mobile Multimedia
FORMS: Unifying reference model for formal specification of distributed self-adaptive systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
ACM SIGAPP Applied Computing Review
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Mutual collaboration plays a vital role in sharing of resources in an ad hoc network of handheld devices in a pervasive computing environment. Effective sharing of resources is facilitating tiny pervasive devices to benefit from situations which otherwise would not have been possible due to several limitations (such as poor storage and computational capability). An unavoidable consequence of this aspect is opening the door for security breaches. Trust is the weapon which is used to fight against security violations by restricting malicious nodes from participating in any interaction. Here, we present a context specific and reputation based trust model along with a brief survey of current trust models. To the best of our knowledge, our model is the first formal omnipresent trust model for pervasive computing, which can be used universally. This paper presents a recommendation protocol that provides a multi-hop recommendation capability and a flexible behavioral model to handle interactions. This paper also illustrates the implementation and evaluation of the omnipresent formal trust model.