Context-aware Location Privacy Protection Method

Authors

  • Haohua Qing Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia. https://orcid.org/0009-0005-4867-528X
  • Roliana Ibrahim Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.
  • Hui Wen Nies Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia.

DOI:

https://doi.org/10.21123/bsj.2024.9792

Keywords:

Context-Aware Security, Dynamic Privacy Preservation, Location privacy protection, Semantic Analysis in Location Data

Abstract

Location privacy protection has drawn increasing attention with the popularity of location-based services. This study proposes a context-aware location privacy protection method (CA-LP). CA-LP evaluates users' location privacy needs by mining their historical trajectories and estimating the privacy leakage degree of locations. Experiments compare CA-LP with other methods on metrics like privacy protection level, quality of service, privacy leakage risk, information loss, and average anonymous time. Results demonstrate CA-LP provides better privacy protection and service quality when considering all factors. CA-LP shows extensive practical value in location sharing applications.

Received 30/09/2023

Revised 29/12/2023

Accepted 31/12/2023

Published Online First 20/03/2024

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Copyright (c) 2024 Haohua Qing, Roliana Ibrahim, Hui Wen Nies

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1.
Context-aware Location Privacy Protection Method. Baghdad Sci.J [Internet]. [cited 2024 Apr. 30];21(10). Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/9792
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