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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Proceedings ArticleDOI
Near-pri: Private, proximity based location sharing
Edmund Novak,Qun Li +1 more
TL;DR: The main contribution is a flexible, practical protocol for private proximity testing, a useful and efficient technique for representing location values, and a working implementation of the system the design in this paper.
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Privacy Protected Spatial Query Processing for Advanced Location Based Services
TL;DR: This paper proposes an effective location cloaking mechanism based on spatial networks and two novel query algorithms, PSNN and PSRQ, for answering nearest neighbor queries and range queries on spatial Networks without revealing private information of the query initiator.
Differentially Private Location Privacy in Practice
TL;DR: In this article, the authors carried out a practical study using real mobility traces coming from two different datasets, to assess the ability of Geo-Indistinguishability to protect users' points of interest (POIs).
Proceedings ArticleDOI
A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation
Sergio Mascetti,Claudio Bettini +1 more
TL;DR: An extensive experimental study is presented, considering known generalization algorithms as well as new ones proposed by the authors, for the anonymization of requests in location based services.
Proceedings ArticleDOI
A Cloaking Algorithm Based on Spatial Networks for Location Privacy
TL;DR: A cloaking algorithm in which cloaked regions are generated acording to the features of spatial networks is proposed, which out-performs prior cloaking algorithms in terms of the candidate query results and the cache utilization.
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