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A Random Sensitive Area Based Privacy Preservation Algorithm for Location-Based Service

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Abstract

In general, generalization is a common strategy used for preserving the user’s privacy in location-based service (LBS). In this strategy, at least k−1 anonymous users are selected to generalize the real location. However, in some special areas, there will be too many anonymous users to be selected in a limited space, and the real location can be correlated with the specified area and violates the privacy. Therefore, in this paper, in order to cope with problem mentioned above, a random sensitive area based privacy preservation algorithm is proposed. In this algorithm, before selecting anonymous users, several random sensitive areas are selected. Then based on the selected areas, anonymous users are selected to generalize the real location. With these operations, the real location is not only generalized by anonymous users but also generalized by sensitive areas with different types, so the adversary will be even more difficult to identify the real location. At last, security analysis as well as simulation experiments are given to further demonstrate the superiority of algorithm proposed in the level of privacy preservation and the capability of execution efficiency.

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Acknowledgments

This work was supported by the Basic Scientific Research Operating Expenses of Heilongjiang Provincial University and Colleges under Grant 2020-KYYWF-0227.

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Authors and Affiliations

  1. College of Information Science and Electronic Technology, Jiamusi University, Jiamusi, 154007, China

    Yi Liu, Jing Tian, Yunming Du & Shuai Li

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  1. Yi Liu
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  2. Jing Tian
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  3. Yunming Du
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  4. Shuai Li
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Correspondence to Jing Tian.

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Liu, Y., Tian, J., Du, Y. et al. A Random Sensitive Area Based Privacy Preservation Algorithm for Location-Based Service. Wireless Pers Commun 119, 1179–1192 (2021). https://doi.org/10.1007/s11277-021-08256-y

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