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Open AccessProceedings ArticleDOI

The new Casper: query processing for location services without compromising privacy

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.

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Citations
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Proceedings ArticleDOI

Personal Agent for Services in ITS

TL;DR: The concept of a privacy enhancing personal agent that manages a user's privacy policy settings and provides access control functions to ITS services and the design of the personal agent is considered based on privacy requirements.
Journal ArticleDOI

Routing Mechanism in Mobile Ad hoc Network with Improved Security and Channel Adaptivity under Fading

TL;DR: Channel adaptive protocol with improved node security, extensions to a multipath routing protocol to accommodate channel fading and node security is introduced, and simulation results confirm the improved network performance of CARNS, both in terms of node security and channel fading.
Proceedings ArticleDOI

Towards communication-efficient private location dependent queries

TL;DR: The results show that by utilizing a low-expansion encryption with a two-layer version of recursive CPIR protocol, one can achieve a communication-efficient CPIR-based private LBS query scheme while keeping an acceptable computation cost, and the extent of database disclosure is also minimized.
ReportDOI

Trust-but-Verify: Guaranteeing the Integrity of User-generated Content in Online Applications

Akshay Dua
TL;DR: The trust-but-verify approach is applied to three different classes of online applications and it is shown how it can enable 1) high-integrity, privacy-preserving, crowd-sourced sensing, 2) non-intrusive cheat detection in online games, and 3) effective spam prevention in online messaging applications.
Proceedings ArticleDOI

Anonymity-Preserving Location Data Publishing

TL;DR: A novel technique is presented that reduces location resolution to achieve a desired level of anonymity protection and allows location data to be published as accurate as possible and designed to support efficient publishing of large volumes of location data.
References
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Journal ArticleDOI

k -anonymity: a model for protecting privacy

TL;DR: The solution provided in this paper includes a formal protection model named k-anonymity and a set of accompanying policies for deployment and examines re-identification attacks that can be realized on releases that adhere to k- anonymity unless accompanying policies are respected.
Proceedings ArticleDOI

Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking

TL;DR: A middleware architecture and algorithms that can be used by a centralized location broker service that adjusts the resolution of location information along spatial or temporal dimensions to meet specified anonymity constraints based on the entities who may be using location services within a given area.
Journal ArticleDOI

Protecting respondents identities in microdata release

TL;DR: This paper addresses the problem of releasing microdata while safeguarding the anonymity of respondents to which the data refer and introduces the concept of minimal generalization that captures the property of the release process not distorting the data more than needed to achieve k-anonymity.
Journal ArticleDOI

Achieving k -anonymity privacy protection using generalization and suppression

TL;DR: This paper provides a formal presentation of combining generalization and suppression to achieve k-anonymity and shows that Datafly can over distort data and µ-Argus can additionally fail to provide adequate protection.
Journal ArticleDOI

Location privacy in pervasive computing

TL;DR: The mix zone is introduced-a new construction inspired by anonymous communication techniques-together with metrics for assessing user anonymity, based on frequently changing pseudonyms.
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