Design and implementation of S-MARKS: A secure middleware for pervasive computing applications
Journal of Systems and Software
ProQuPri: towards anonymity protection with privacy quantification for context-aware applications
Proceedings of the 2011 ACM Symposium on Applied Computing
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The emergence of new technologies and the proliferation of mobile and handheld devices have facilitated development of context-based services. Common examples include the location based services. However, the revelation of the context and static information gives rise to new and very complex privacy concerns in such services. In this paper, we propose a formal model to regulate the privacy level of information passed to the service provider without disrupting the quality of information required for service access. The framework takes on two forms based on the receiver of the request generalization task to a trusted party or local device. A formal attack model assumes different levels of knowledge by the attacker and demonstrates the relative concerns of static information over contexts.