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
A Novel Location Privacy Preservation Method for Moving Object
Xu Zhang,Ying Xia,Hae-Young Bae +2 more
TL;DR: This paper proposes a new semantic privacy preservation method rely on the well-established k-anonymity and l-diversity privacy metrics for semantic cloaking and defines a representative cloaking region which helps in communication cost reduction caused by user movement.
Dissertation
Towards a unified framework for efficient access methods and query operations in spatio-temporal databases
Jignesh M. Patel,Yun Chen +1 more
TL;DR: The STRIPES indexing method is developed, which indexes predicted trajectories in a dual transformed space and the notion of Trajectory Privacy is introduced, and the application of the JiST framework in the context of privacy preservation is shown.
Journal ArticleDOI
PE-TLBS: Secure Location Based Services Environment with Emphasis on Direct Anonymous Attestation Protocol
TL;DR: Privacy Enhanced-Trusted Location Based Services (PE-TLBS) framework which create more trusted and privacy preserving services on top of existing Mobile Location Protocol (MLP) and initiated a virtualized Proof of Concept (PoC) environment to validate the framework.
Book ChapterDOI
Potential Attacks against k-Anonymity on LBS and Solutions for Defending the Attacks
TL;DR: This paper analysis some security attacks that utilized drawbacks of traditional k-anonymity techniques to encroach users’ privacy in LBS, and then some novel methods to defend these attacks are proposed.
Journal ArticleDOI
Literature Review of Mobile Applications Testing on Cloud from Information Security Perspective
Shilpa Bahl,Manmohan Chaturvedi +1 more
TL;DR: This paper discusses architecture of cloud computing and TaaS in terms of necessity, features, emerging trends, benefits and gaps while focussing on security and privacy issues for mobile application.
References
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Proceedings ArticleDOI
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