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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Analysis on Preserving Location Privacy
TL;DR: A comprehensive survey of selected level of privacy in location based services that have been published in the different research journals is given to throw light on the threats in locationbased applications and remedies for them.
Proceedings ArticleDOI
A New K-NN Query Processing Algorithm Enhancing Privacy Protection in Location-Based Services
TL;DR: A hybrid scheme to process an approximate k-Nearest Neighbor (k-NN) query by combining above two methods is proposed and it is shown that the hybrid scheme outperforms the existing work in terms of both query processing time and accuracy of the result set.
Dissertation
Exploration and protection of location privacy in online social networks
TL;DR: This thesis extends the state-of-the-art in location-related through the following key contributions: it provides a systematic approach for protection of the privacy of both discrete and continuous spatio-temporal data releases under differential privacy derived from comprehensive analysis of spatio -temporal privacy issues and scenarios.
Book ChapterDOI
Security-and-Privacy-Related Issues on IT Systems During Disasters
TL;DR: This paper summarizes security-and-privacy-related issues that confront IT systems during disasters in the context of two major areas of operation: information gathering and system continuity management.
Book ChapterDOI
A Full Privacy-Preserving Scheme for Location-Based Services
TL;DR: This paper uses group anonymous authentication to fulfill identity privacy, while using program obfuscation to satisfy the privacy requirement of usage profile, and assumes that there exist some geography or geometry methods to form a cloaking region to meet location privacy.
References
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