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Proceedings ArticleDOI

Emerging trends of location privacy techniques in location aided applications

TLDR
This paper has studied drawbacks of existing techniques and proposed either modification or novel methods to protect location privacy, and suggested to analyse privacy strength, energy consumption, and accuracy of services, overhead cost such as computing and communication cost.
Citations
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Journal ArticleDOI

A Game-Theoretic Framework to Preserve Location Information Privacy in Location-based Service Applications.

TL;DR: This paper model a scenario of privacy protection gameplay between a privacy protector and an outside visitor and derive the situation of the prisoner’s dilemma game to analyze the traditional privacy protection problems, and proposes a game-theoretic model to protect users against private information leakage in LBSs due to malicious or selfish behavior of third-party observers.
Journal ArticleDOI

Network-Based Anti-Theft Alert System Using Dynamic Hybrid TOA/AOA Algorithm

TL;DR: A novel network based anti-theft alert system using a dynamic hybrid time of arrival (TOA/angle of arrival) algorithm that can be as accurate as possible regardless of the environment is proposed.
References
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Journal ArticleDOI

Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms

TL;DR: A scalable architecture for protecting the location privacy from various privacy threats resulting from uncontrolled usage of LBSs is described, including the development of a personalized location anonymization model and a suite of location perturbation algorithms.
Journal ArticleDOI

A survey of computational location privacy

TL;DR: This is a literature survey of computational location privacy, meaning computation-based privacy mechanisms that treat location data as geometric information, which includes privacy-preserving algorithms like anonymity and obfuscation as well as privacy-breaking algorithms that exploit the geometric nature of the data.
Journal ArticleDOI

Spatial cloaking for anonymous location-based services in mobile peer-to-peer environments

TL;DR: Experimental results show that the P2P spatial cloaking algorithm is scalable while guaranteeing the user’s location privacy protection, and a cloaked area adjustment scheme guarantees that the spatial cloaked algorithm is free from a “center-of-cloaked-area” privacy attack.
Journal Article

The PROBE Framework for the Personalized Cloaking of Private Locations

TL;DR: A novel privacy model and an architectural framework for the personalized cloaking of semantic locations that satisfies the privacy constraints specified by the user in the privacy profile (obfuscated location) is presented.
Journal ArticleDOI

Privacy-Preserving and Content-Protecting Location Based Queries

TL;DR: A major enhancement upon previous solutions to one of the location-based query problems is proposed by introducing a two stage approach, where the first step is based on Oblivious Transfer and the second step isbased on Private Information Retrieval, to achieve a secure solution for both parties.
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