The new Casper: query processing for location services without compromising privacy
Mohamed F. Mokbel,Chi-Yin Chow,Walid G. Aref +2 more
- pp 763-774
TLDR
Zhang et al. as mentioned in this paper presented Casper1, a new framework in which mobile and stationary users can entertain location-based services without revealing their location information, which consists of two main components, the location anonymizer and the privacy-aware query processor.Abstract:
This paper tackles a major privacy concern in current location-based services where users have to continuously report their locations to the database server in order to obtain the service. For example, a user asking about the nearest gas station has to report her exact location. With untrusted servers, reporting the location information may lead to several privacy threats. In this paper, we present Casper1; a new framework in which mobile and stationary users can entertain location-based services without revealing their location information. Casper consists of two main components, the location anonymizer and the privacy-aware query processor. The location anonymizer blurs the users' exact location information into cloaked spatial regions based on user-specified privacy requirements. The privacy-aware query processor is embedded inside the location-based database server in order to deal with the cloaked spatial areas rather than the exact location information. Experimental results show that Casper achieves high quality location-based services while providing anonymity for both data and queries.read more
Citations
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Journal ArticleDOI
An incentive mechanism for K-anonymity in LBS privacy protection based on credit mechanism
TL;DR: An incentive mechanism based on credit is introduced into the distributed K-anonymity, and only providing assistance to the others, a user can gain and accumulate his credit and avoid the security issue resulting from its breach.
Book
Synthesis Lectures on Data Management
TL;DR: This lecture gives an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis.
Proceedings ArticleDOI
Location Privacy via Differential Private Perturbation of Cloaking Area
TL;DR: This paper proposes a novel location privacy preserving scheme that leverages some differential privacy based notions and mechanisms to publish the optimal size cloaking areas from multiple rotated and shifted versions of Hilbert curve and significantly reduces the average size of cloaking area compared to previous Hilbert curve method.
BookDOI
Differential Privacy and Applications Preface
TL;DR: This chapter presents three methods that apply differential privacy to achieve location privacy for LBSs: the geo-indistinguishability method, the synthetic differentially private trajectory Publishing method, and the hierarchical location data publishing method, with an emphasis on the last one.
Proceedings ArticleDOI
Measuring query privacy in location-based services
Xihui Chen,Jun Pang +1 more
TL;DR: New metrics to measure users' query privacy taking into account user profiles are proposed and spatial generalisation algorithms to compute regions satisfying users' privacy requirements expressed in these metrics are designed.
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