Abstract
The privacy of the trajectories of indoor space users is just as important as that of the users of outdoor spaces. Many users of indoor spaces consider it very important to maintain the privacy of their movements within buildings and not reveal their visit to a certain room/cell inside buildings. In this paper, we propose a cloaking diversity approach for moving entities in indoor spaces. This new privacy-assurance approach uses the cloaking concept adapted with processing diversity trajectories to safeguard user privacy in an indoor space. Extensive simulations and evaluations have demonstrated that the proposed privacy approach algorithm performs well and at a low cost.
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Alamri, S. (2022). Anonymous Trajectory Method for Indoor Users for Privacy Protection. In: Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol 13375. Springer, Cham. https://doi.org/10.1007/978-3-031-10522-7_8
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DOI: https://doi.org/10.1007/978-3-031-10522-7_8
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