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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Book ChapterDOI
Geo-indistinguishability: A Principled Approach to Location Privacy
TL;DR: The starting point of the approach is the principle of geo-indistinguishability, a formal notion of privacy that protects the user's exact location, while allowing approximate information typically needed to obtain a certain desired service to be released.
Journal ArticleDOI
Location privacy-preserving k nearest neighbor query under user's preference
Weiwei Ni,Mingzhu Gu,Xiao Chen +2 more
TL;DR: A novel location privacy model (s, e)-anonymity is devised from perspective of minimum inferred region and candidate answer region, which present location protection strength and scale of intermediate results, respectively and delivers well trade-off among location protection, query performance and query user's privacy preference.
Proceedings ArticleDOI
Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region
TL;DR: This paper proposes a framework, called KAWCR (K-anonymity Without Cloaked Region), which only needs the server to process INN queries and can guarantee that the users issuing the query is indistinguishable from at least K-1 other users.
Journal ArticleDOI
Achieving location privacy through CAST in location based services
Ruchika Gupta,Udai Pratap Rao +1 more
TL;DR: This paper is a research attempt to extend the realm of collaborative communication among peers belonging to a mobile user group in a decentralized or trusted third party free architecture called CAST, that employs the series of trust among peers and peers use their cached mobile data to collaborate with each other in order to get the results locally.
Journal ArticleDOI
An anonymous entropy-based location privacy protection scheme in mobile social networks
TL;DR: An anonymous entropy-based location privacy protection scheme in mobile social networks (MSN), which includes two algorithms K-DDCA in a densely populated region and K-SDCA in an sparsely populated region to tackle the problem of location privacy leakage.
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