2011Unpublished venueRequires access

On preserving location privacy in mobile environments

Chien‐Ping Wu, Chen-Che Huang, Jiun‐Long Huang, Chih‐Lin Hu

Open publisher page 4 citations

Abstract

With the proliferation of mobile devices and advances in positioning technologies, the location-based services (LBSs) have emerged as one of the killer applications for mobile users. Preserving user location privacy is one of the most crucial issues for LBSs. In this paper, we propose a new concept of k-anonymity to preserve users' location privacy. We devise a novel cloaking algorithm, called split cloaking, to generate a set of distributed cloaking regions. These distributed cloaking regions achieve higher k-anonymity for mobile users, leading to better privacy protection. In addition, the split cloaking algorithm addresses the problem that the number of querying users is too small to achieve k-anonymity. The experimental results show that the split cloaking algorithm is effective in user location privacy preservation.

About this research paper

What this paper is about

With the proliferation of mobile devices and advances in positioning technologies, the location-based services (LBSs) have emerged as one of the killer applications for mobile users. Preserving user location privacy is one of the most crucial issues for LBSs. In this paper, we propose a new concept of k-anonymity to preserve users' location privacy. We devise a novel cloaking algorithm, called split cloaking, to generate a set of distributed cloaking regions. These distributed cloaking regions achieve higher k-anonymity for mobile users, leading to better privacy protection. In addition, the split cloaking algorithm addresses the problem that the number of querying users is too small to achieve k-anonymity. The experimental results show that the split cloaking algorithm is effective in user location privacy preservation.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the proliferation of mobile devices and advances in positioning technologies, the location-based services (LBSs) have emerged as one of the killer applications for mobile users. Preserving user location privacy is one of the most crucial issues for LBSs. In this paper, we propose a new concept of k-anonymity to preserve users' location privacy. We devise a novel cloaking algorithm, called split cloaking, to generate a set of distributed cloaking regions. These distributed cloaking regions achieve higher k-anonymity for mobile users, leading to better privacy protection. In addition, the split cloaking algorithm addresses the problem that the number of querying users is too small to achieve k-anonymity. The experimental results show that the split cloaking algorithm is effective in user location privacy preservation.

Key concepts: Cloaking, Computer science, Anonymity, k-anonymity, Location-based service, Privacy protection, Mobile device, Information privacy

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