A new privacy preserving model, called (k, R, r)-anonymity, is proposed, which is a light-weight and personalized resolution that can be implemented on ...
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May 12, 2017 · This paper studies the problem of location and query content preserving in location based service (LBS) systems. Based on the private ...
May 12, 2017 · ABSTRACT. This paper studies the problem of location and query content preserving in location based service (LBS) systems. Based on.
A Customizable k-Anonymity Model for Protecting Location Privacy
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... It achieves identity anonymity in LBS by spatio-temporal cloaking based on a k-anonymity model, i.e., the cloaked location is made indistinguishable from ...
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One common solution, called query restriction, prohibits queries that can reveal sensitive information. This is effectively realized by suppressing all.
Missing: personalized LBS
k-anonymity is a common way used to preserve the LBS user's private information [8] , and the core of k-anonymity is to ensure that a user cannot be identified ...
Apr 6, 2020 · (k, R, r)-anonymity: a light-weight and personalized location protection model for LBS query. Paper presented at: Proceedings of the ACM ...
Our model enables each message sent from a mobile node to specify the desired level of anonymity as well as the maximum temporal and spatial tolerances for ...
Missing: R, r light- weight query.
In this paper, we propose an enhanced user privacy scheme through caching and spatial K -anonymity (CSKA) in continuous LBSs; it adopts multi-level caching to ...
(k, R, r)-anonymity: a light-weight and personalized location protection model for LBS query · Computer Science. ACM TUR-C '17 · 2017.