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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Survey on Location Privacy-Preserving Mechanisms in Mobile Crowdsourcing

Author 1: Arwa Bashanfar
Author 2: Eman Al-Zahrani
Author 3: Maram Alutebei
Author 4: Wejdan Aljagthami
Author 5: Suhari Alshehri

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0100782

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Mobile Crowdsourcing (MCS) surfaced as a new affluent method for data collection and processing as a result of the boom of sensor-rich mobile devices popularity. MCS still has room for improvement, particularly in protecting workers’ private information such as location. Therefore, the installation of privacy-preserving mechanisms that insulate sensitive infor-mation and prevent attackers from obtaining information is a necessity. In this paper, we discuss location privacy threats and analyze some recently proposed mechanisms that targeted location privacy in mobile crowdsourcing. Finally, we compare and evaluate these mechanisms according to specific criteria that we define in this paper.

Keywords: Mobile crowdsourcing; privacy; security; location privacy-preserving

Arwa Bashanfar, Eman Al-Zahrani, Maram Alutebei, Wejdan Aljagthami and Suhari Alshehri, “A Survey on Location Privacy-Preserving Mechanisms in Mobile Crowdsourcing” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100782

@article{Bashanfar2019,
title = {A Survey on Location Privacy-Preserving Mechanisms in Mobile Crowdsourcing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100782},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100782},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Arwa Bashanfar and Eman Al-Zahrani and Maram Alutebei and Wejdan Aljagthami and Suhari Alshehri}
}


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