Anonymity, unobservability, and pseudeonymity — a proposal for terminology
International workshop on Designing privacy enhancing technologies: design issues in anonymity and unobservability
Concepts for personal location privacy policies
Proceedings of the 3rd ACM conference on Electronic Commerce
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
A Privacy Awareness System for Ubiquitous Computing Environments
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Policy Language for a Pervasive Computing Environment
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Location-based Services: Fundamentals and Operation
Location-based Services: Fundamentals and Operation
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Obligations: Building a Bridge between Personal and Enterprise Privacy in Pervasive Computing
TrustBus '08 Proceedings of the 5th international conference on Trust, Privacy and Security in Digital Business
Towards personal privacy control
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
Context-aware device self-configuration using self-organizing maps
Proceedings of the 2011 workshop on Organic computing
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One distinctive feature of pervasive computing environments is the common need to gather and process context information about real persons Unfortunately, this unavoidably affects persons' privacy Each time someone uses a cellular phone, a credit card, or surfs the web, he leaves a trace that is stored and processed In a pervasive sensing environment, however, the amount of information collected is much larger than today and also might be used to reconstruct personal information with great accuracy The question we address in this paper is how to control dissemination and flow of personal data across organizational, and personal boundaries, i.e., to potential addressees of privacy relevant information This paper presents the User-Centric Privacy Framework (UCPF) It aims at protecting a user's privacy based on the enforcement of privacy preferences They are expressed as a set of constraints over some set of context information To achieve the goal of cross-boundary control, we introduce two novel abstractions, namely Transformations and Foreign Constraints, in order to extend the possibilities of a user to describe privacy protection criteria beyond the expressiveness usually found today Transformations are understood as any process that the user may define over a specific piece of context This is a main building block for obfuscating – or even plainly lying about – the context in question Foreign Constraints are an important complementing extension because they allow for modeling conditions defined on external users that are not the tracked individual, but may influence disclosure of personal data to third parties We are confident that these two easy-to-use abstractions together with the general privacy framework presented in this paper constitute a strong contribution to the protection of the personal privacy in pervasive computing environments.