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ReverseCloak: Protecting multi-level location privacy over road networks

Li, C and Palanisamy, B (2015) ReverseCloak: Protecting multi-level location privacy over road networks. In: UNSPECIFIED.

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With advances in sensing and positioning technology, fueled by the ubiquitous deployment of wireless networks, location-aware computing has become a fundamental model for offering a wide range of life enhancing services. However, the ability to locate users and mobile objects opens doors for new threats - the intrusion of location privacy. Location anonymization refers to the process of perturbing the exact location of users as a cloaking region such that a user's location becomes indistinguishable from the location of a set of other users. A fundamental limitation of existing location anonymization techniques is that location information once perturbed to provide a certain anonymity level cannot be reversed to reduce anonymity or the degree of perturbation. This is especially a serious limiting factor in multi-level privacy-controlled scenarios where different users of the location information have different levels of access. This paper presents ReverseCloak, a new class of reversible location cloaking mechanisms that effectively support multi-level location privacy, allowing selective de-anonymization of the cloaking region to reduce the granularity of the perturbed location when suitable access credentials are provided. We evaluate the ReverseCloak techniques through extensive experiments on realistic road network traces generated by GT-MobiSim. Our experiments show that the proposed techniques are efficient, scalable and provide the required level of privacy.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
CreatorsEmailPitt UsernameORCID
Li, Cchl205@pitt.eduCHL205
Palanisamy, BBPALAN@pitt.eduBPALAN
Date: 17 October 2015
Date Type: Publication
Journal or Publication Title: International Conference on Information and Knowledge Management, Proceedings
Volume: 19-23-
Page Range: 673 - 682
Event Type: Conference
DOI or Unique Handle: 10.1145/2806416.2806437
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781450337946
Date Deposited: 14 Jul 2017 16:40
Last Modified: 07 Mar 2023 11:56


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