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
DALP: A demand-aware location privacy protection scheme in continuous location-based services
TL;DR: This paper proposes a demand‐aware location protection scheme for continuous LBS requests, allowing a user to customize not only location privacy but also QoS requirement, and proposes two algorithms to minimize the constructed cloaking regions, reducing the query latency and the server's workload and providing better QoS for users.
Proceedings ArticleDOI
Location Anonymity Based on Fake Queries in Continuous Location-Based Services
TL;DR: A location anonymity scheme based on the fake queries in continuous location-based services that can provide stringent privacy guarantees and is beyond the limitation of existing algorithms based on K-anonymity technique is proposed.
Proceedings ArticleDOI
H-Star: Hilbert-order Based Star Network Expansion Cloaking Algorithm in Road Networks
TL;DR: The H-Star guarantees K-anonymity under the strict reciprocity condition and increases anonymization success rate by reducing computation overhead and shows the effectiveness of the algorithm in the field of spatial cloaking.
Proceedings ArticleDOI
A Privacy-Preserving Solution for Tracking People in Critical Environments
TL;DR: This paper proposes an RFID-based technique to trace people but introducing a certain degree of uncertainty, in such a way that their privacy is fully preserved, and implements the k-anonymity property, which is able to guess who accessed a place, at a given time, with probability k-1.
Proceedings ArticleDOI
Range-based Obstructed Nearest Neighbor Queries
TL;DR: The experimental result shows that the RONN-OA algorithm outperforms the two R-tree based algorithms significantly and it is shown that the OOB scheme achieves the best tree balance in O-tree and outperforms two baseline schemes.
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