Location Privacy in Pervasive Computing
IEEE Pervasive Computing
A Privacy Awareness System for Ubiquitous Computing Environments
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Supporting location-based conditions in access control policies
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
Managing Privacy in LBAC Systems
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Location privacy protection through obfuscation-based techniques
Proceedings of the 21st annual IFIP WG 11.3 working conference on Data and applications security
Protecting privacy against location-based personal identification
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
A formal model of obfuscation and negotiation for location privacy
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Bob-tree: an efficient B+-tree based index structure for geographic-aware obfuscation
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
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With technical advancement of location technologies and their widespread adoption, information regarding physical location of individuals is becoming more available, augmenting the development and growth of location-based services. As a result of such availability, threats to location privacy are increasing, entailing more robust and sophisticated solutions capable of providing users with straightforward yet flexible privacy. The ultimate objective of this work is to design a privacy-preserving solution, based on obfuscation techniques (imprecision and inaccuracy), capable of handling location privacy, as required by users and according to their preferences. To this aim, we propose an intuitive graph-based location model, based on which users can express their regional privacy preferences. We present an obfuscation-based solution which allows us to achieve location privacy through degradation of location information, as well as measuring the reliability of such information. The proposed approach is robust and efficient, and covers some of the deficiencies of current obfuscation-based privacy solutions. We also propose two privacy-aware architectures for our solution.