Comprehensive survey of location privacy and proposed effective approach to protecting the privacy of LBS users

Ahmed Aloui, Samir Bourekkache, Okba Kazar, Ezedin Barka

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In recent years, location-based services (LBS) have become very popular, especially with the rapid emergence of the Internet of Things (IoT). However, LBS introduces new security vulnerabilities, which can lead to violations of user privacy. Therefore, protecting user location privacy has become a growing concern. In this article, we investigate the privacy attack models on LBS users. Additionally, we present an in-depth review of current protection mechanisms. Moreover, we provide the comparison between these privacy preservation mechanisms to allow new research opportunities. Furthermore, we present our approach to protecting user privacy in LBS over Euclidean space. Then, we present the comparison of our approach with other works.

Original languageEnglish
Title of host publicationBig Data Analytics and Intelligent Systems for Cyber Threat Intelligence
PublisherRiver Publishers
Pages49-69
Number of pages21
ISBN (Electronic)9788770227773
ISBN (Print)9788770227780
Publication statusPublished - Nov 11 2022
Externally publishedYes

Keywords

  • Attack models.
  • Location-based services
  • Privacy preservation
  • Security

ASJC Scopus subject areas

  • General Computer Science
  • General Economics,Econometrics and Finance
  • General Business,Management and Accounting

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