Privacy issues in location-aware browsing
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS
Exploring dependency for query privacy protection in location-based services
Proceedings of the third ACM conference on Data and application security and privacy
A classification of location privacy attacks and approaches
Personal and Ubiquitous Computing
Protecting query privacy in location-based services
Geoinformatica
Anonymizing continuous queries with delay-tolerant mix-zones over road networks
Distributed and Parallel Databases
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The problem of protecting user's privacy in Location-Based Services (LBS) has been extensively studied recently and several defense techniques have been proposed. In this contribution, we first present a categorization of privacy attacks and related defenses. Then, we consider the class of defense techniques that aim at providing privacy through anonymity and in particular algorithms achieving "historical k- anonymity" in the case of the adversary obtaining a trace of requests recognized as being issued by the same (anonymous) user. Finally, we investigate the issues involved in the experimental evaluation of anonymity based defense techniques; we show that user movement simulations based on mostly random movements can lead to overestimate the privacy protection in some cases and to overprotective techniques in other cases. The above results are obtained by comparison to a more realistic simulation with an agent-based simulator, considering a specific deployment scenario.