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A distributed mix-context-based method for location privacy in road networks

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Ullah, Ikram, Shah, Munam Ali, Khan, Abid, Maple, Carsten, Waheed, Abdul and Jeon, Gwnaggil (2021) A distributed mix-context-based method for location privacy in road networks. Sustainability, 13 (22). e12513. doi:10.3390/su132212513 ISSN 2071-1050.

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Official URL: https://doi.org/10.3390/su132212513

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Abstract

Preserving location privacy is increasingly an essential concern in Vehicular Adhoc Networks (VANETs). Vehicles broadcast beacon messages in an open form that contains information including vehicle identity, speed, location, and other headings. An adversary may track the various locations visited by a vehicle using sensitive information transmitted in beacons such as vehicle identity and location. By matching the vehicle identity used in beacon messages at various locations, an adversary learns the location history of a vehicle. This compromises the privacy of the vehicle driver. In existing research work, pseudonyms are used in place of the actual vehicle identity in the beacons. Pseudonyms should be changed regularly to safeguard the location privacy of vehicles. However, applying simple change in pseudonyms does not always provide location privacy. Existing schemes based on mix zones operate efficiently in higher traffic environments but fail to provide privacy in lower vehicle traffic densities. In this paper, we take the problem of location privacy in diverse vehicle traffic densities. We propose a new Crowd-based Mix Context (CMC) privacy scheme that provides location privacy as well as identity protection in various vehicle traffic densities. The pseudonym changing process utilizes context information of road such as speed, direction and the number of neighbors in transmission range for the anonymisation of vehicles, adaptively updating pseudonyms based on the number of a vehicle neighbors in the vicinity. We conduct formal modeling and specification of the proposed scheme using High-Level Petri Nets (HPLN). Simulation results validate the effectiveness of CMC in terms of location anonymisation, the probability of vehicle traceability, computation time (cost) and effect on vehicular applications.

Item Type: Journal Article
Subjects: T Technology > TE Highway engineering. Roads and pavements
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Vehicular ad hoc networks (Computer networks), Vehicular ad hoc networks (Computer networks) -- Security measures, Mobile geographic information systems -- Design, Information storage and retrieval systems -- Road location, Location-based services, Location-based services -- Performance, Location-based services -- Security measures, Wireless sensor networks -- Security measures
Journal or Publication Title: Sustainability
Publisher: MDPI
ISSN: 2071-1050
Official Date: 12 November 2021
Dates:
DateEvent
12 November 2021Published
5 November 2021Accepted
Volume: 13
Number: 22
Article Number: e12513
DOI: 10.3390/su132212513
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 30 November 2021
Date of first compliant Open Access: 30 November 2021
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/R007195/1UK Research and Innovationhttp://dx.doi.org/10.13039/100014013
EP/N510129/1UK Research and Innovationhttp://dx.doi.org/10.13039/100014013
EP/R029563Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
EP/S035362/1UK Research and Innovationhttp://dx.doi.org/10.13039/100014013
UNSPECIFIEDHigher Education Commision, Pakistanhttp://dx.doi.org/10.13039/501100010221
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