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A Review on Privacy Preservation of Location-Based Services in Internet of Things

Raniyah Wazirali*
College of Computing and Informatics, Saudi Electronic University, Saudi Arabia, Riyadh
* Corresponding Author: Raniyah Wazirali. Email:

Intelligent Automation & Soft Computing 2022, 31(2), 767-779. https://doi.org/10.32604/iasc.2022.019243

Received 07 April 2021; Accepted 12 June 2021; Issue published 22 September 2021

Abstract

Internet of Things (IoT) has become popular with the rapid development of sensing devices, and it offers a large number of services. Location data is one of the most important information required for IoT systems. With the widespread of Location Based Services (LBS) applications, the privacy and security threats are also emerging. Recently, a large number of studies focused on localization and positioning functionalities, however, the risk associated with user privacy has not been sufficiently addressed so far. Therefore, privacy and security of device location in IoT systems is an active area of research. Since LBS is often exposed to attacks, it has privacy concerns, such as the privacy of a user’s current location, which could include personal details. If the user’s current position is compromised as a result of unauthorized access, it may have serious consequences. As a result, maintaining user privacy while achieving precise location remains a challenge in IoT. In this paper, we survey different challenges related to the privacy and security of user’s location in IoT systems. First, we provide in depth analysis of several studies related to this issue. Secondly, we propose potential solutions to address the problem at hand. Finally, we discuss some limitations that still require attention through related case studies.

Keywords

Privacy-preservation; IoT services; location information

Cite This Article

R. Wazirali, "A review on privacy preservation of location-based services in internet of things," Intelligent Automation & Soft Computing, vol. 31, no.2, pp. 767–779, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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