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
Privacy-Aware RNN Query Processing on Location-Based Services
TL;DR: The concept of Voronoi cell for regions (VCR) is introduced and the framework to answer the privacy-ware RNN queries based on computing the V CR is proposed and the techniques to compute the VCR under L1 metric efficiently are proposed.
Journal ArticleDOI
Toward location privacy protection in Spatial crowdsourcing
TL;DR: A novel framework that can protect the location privacy of the workers and the requesters when assigning tasks to workers is proposed, based on mathematical transformation to the location while providing privacy protection to workers and requesters.
Journal ArticleDOI
IDP: A Privacy Provisioning Framework for TIP Attributes in Trusted Third Party-based Location-based Services Systems
TL;DR: A new privacy protection model named “Improved Dummy Position” (IDP) that protects TIP (Time, Identity, and Position) attributes under TTP LBS System is proposed and a comparative analysis is conducted by implementing the proposed model in the simulation tool, Riverbed Modeler academic edition.
Confidential and Efficient Query Services in the Cloud
E. Saral Elizabeth,M. Tech-Cse +1 more
TL;DR: This work proposes the RAndom space Perturbation (RASP) method to construct the query and here the multidimensional data can be transformed with the combination of order preserving encryption, random, and the working process of query.
References
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