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Virtual pseudonym-changing and dynamic grouping policy for privacy preservation in VANETs

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Ullah, Ikram, Shah, Munam Ali, Khan, Abid, Maple, Carsten and Waheed, Abdul (2021) Virtual pseudonym-changing and dynamic grouping policy for privacy preservation in VANETs. Sensors, 21 (9). e3077. doi:10.3390/s21093077 ISSN 1424-8220.

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Official URL: https://doi.org/10.3390/s21093077

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Abstract

Location privacy is a critical problem in the vehicular communication networks. Vehicles broadcast their road status information to other entities in the network through beacon messages to inform other entities in the network. The beacon message content consists of the vehicle ID, speed, direction, position, and other information. An adversary could use vehicle identity and positioning information to determine vehicle driver behavior and identity at different visited location spots. A pseudonym can be used instead of the vehicle ID to help in the vehicle location privacy. These pseudonyms should be changed in appropriate way to produce uncertainty for any adversary attempting to identify a vehicle at different locations. In the existing research literature, pseudonyms are changed during silent mode between neighbors. However, the use of a short silent period and the visibility of pseudonyms of direct neighbors provides a mechanism for an adversary to determine the identity of a target vehicle at specific locations. Moreover, privacy is provided to the driver, only within the RSU range; outside it, there is no privacy protection. In this research, we address the problem of location privacy in a highway scenario, where vehicles are traveling at high speeds with diverse traffic density. We propose a Dynamic Grouping and Virtual Pseudonym-Changing (DGVP) scheme for vehicle location privacy. Dynamic groups are formed based on similar status vehicles and cooperatively change pseudonyms. In the case of low traffic density, we use a virtual pseudonym update process. We formally present the model and specify the scheme through High-Level Petri Nets (HLPN). The simulation results indicate that the proposed method improves the anonymity set size and entropy, provides lower traceability, reduces impact on vehicular network applications, and has lower computation cost compared to existing research work.

Item Type: Journal Article
Subjects: T Technology > TE Highway engineering. Roads and pavements
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
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) -- Security measures, Location-based services -- Security measures, Automotive telematics -- Security measures
Journal or Publication Title: Sensors
Publisher: MDPI
ISSN: 1424-8220
Official Date: 28 April 2021
Dates:
DateEvent
28 April 2021Published
2 April 2021Accepted
Volume: 21
Number: 9
Article Number: e3077
DOI: 10.3390/s21093077
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 11 March 2022
Date of first compliant Open Access: 11 March 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/R007195/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/N510129/1Alan Turing Institutehttp://dx.doi.org/10.13039/100012338
EP/R029563/1AutotrustUNSPECIFIED
EP/S035362/1PETRASUNSPECIFIED
Is Part Of: 1

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