Achieving efficient query privacy for location based services
PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
Multi-agent based middleware for protecting privacy in IPTV content recommender services
Multimedia Tools and Applications
Application and analysis of multidimensional negative surveys in participatory sensing applications
Pervasive and Mobile Computing
A Privacy Preserving Method Using Privacy Enhancing Techniques for Location Based Services
Mobile Networks and Applications
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We address issues related to privacy protection in location-based services (LBS). Most existing research in this field either requires a trusted third-party (anonymizer) or uses oblivious protocols that are computationally and communicationally expensive. Our design of privacy-preserving techniques is principled on not requiring a trusted third-party while being highly efficient in terms of time and space complexities. The problem has two interesting and challenging characteristics: First, the degree of privacy protection and LBS accuracy depends on the context, such as population and road density, around a user's location. Second, an adversary may violate a user's location privacy in two ways: (i) based on the user's location information contained in the LBS query payload, and (ii) by inferring a user's geographical location based on its device's IP address. To address these challenges, we introduce CAP, a Context-Aware Privacy-preserving LBS system with integrated protection for data privacy and communication anonymity. We have implemented CAP and integrated it with Google Maps, a popular LBS system. Theoretical analysis and experimental results validate CAP's effectiveness on privacy protection, LBS accuracy, and communication Quality-of-Service.