Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
Presence, Location, and Instant Messaging in a Context-Aware Application Framework
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Mix Zones: User Privacy in Location-aware Services
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
User-Centered Location Awareness
Computer
Location Privacy in Mobile Systems: A Personalized Anonymization Model
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
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
PRIVE: anonymous location-based queries in distributed mobile systems
Proceedings of the 16th international conference on World Wide Web
Cloaking games in location based services
Proceedings of the 2008 ACM workshop on Secure web services
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
Simulation of obfuscation and negotiation for location privacy
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Uniform obfuscation for location privacy
DBSec'12 Proceedings of the 26th Annual IFIP WG 11.3 conference on Data and Applications Security and Privacy
Map-Aware position sharing for location privacy in non-trusted systems
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
A classification of location privacy attacks and approaches
Personal and Ubiquitous Computing
Exploring smart phone improvements based on a hybrid MCDM model
Expert Systems with Applications: An International Journal
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Mobile network providers have developed a variety of location-based services (LBSs), such as friend-finder, point of interest services, emergency rescue and many other safety and security services. The protection of location-privacy has consequently become a key aspect to the success of LBSs, since users consider their own physical location and movements highly privacy-sensitive, and demand for solutions able to protect such an information in a variety of environments. The idea behind location-privacy protection is that the individual should be able to set the level at which the location information is released to avoid undesired exploitation by a potential attacker: one of the approaches to this problem is given by the application of spatial obfuscation techniques, actuated by a trusted agent, and consisting in artificial perturbations of the location information collected by sensing technologies, before its disclosure to third parties. In many situations, however, landscape/map information can help a third party to perform Bayesian inference over spatially obfuscated data and to refine the user's location estimate up to a violation of the original user's location-privacy requirements. The goal of this paper is to provide a map-dependent obfuscation procedure that enables the release of the maximum possible user's location information, that does not lead to a violation of the original user's location-privacy requirements, even when refined through map-based inference.