Location privacy in VANETs: Provably secure anonymous key exchange protocol based on self-blindable signatures

Security and privacy in vehicular ad hoc networks (VANETs) are challenging in terms of Intelligent Transportation Systems (ITS) features. The distribution and decentralisation of vehicles could threaten location privacy and confidentiality in the absence of trusted third parties (TTP)s or if they are otherwise compromised. If the same digital signatures (or the same certificates) are used for different communications, then adversaries could easily apply linking attacks. Unfortunately, most of the existing schemes for VANETs in the literature do not satisfy the required levels of security, location privacy, and efficiency simultaneously. This paper presents a new and efficient end-to-end anonymous key exchange protocol based on Yang et al. 's self-blindable signatures. In the authors' protocol, vehicles first privately blind their own private certificates for each communication outside the mix-zone and then compute an anonymous shared key based on zero-knowledge proof of knowledge (PoK). The efficiency comes from the fact that once the signatures are verified, the ephemeral values in PoK are also used to compute a shared key through an authenticated Diffie-Hellman key exchange protocol. Therefore, the protocol does not require any further external information to generate a shared key. Their protocol also does not require an interference with the Roadside Units or Certificate Authorities, and hence can be securely run outside the mixed-zones. They demonstrate the security of their protocol in an ideal/real simulation paradigm. Hence, the authors' protocol achieves secure authentication, forward unlinkability, and accountability. Furthermore, the performance analysis shows that their protocol is more efficient in terms of computational and communication overheads compared to existing schemes.

• Record URL:
  • https://doi.org/10.1016/j.vehcom.2022.100490
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2214209622000377
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22142096
• Supplemental Notes:
  • © 2022 Published by Elsevier Inc. Abstract reprinted with permission of Elsevier.
• Authors:
  • AlMarshoud, Mishri Saleh
  • 0000-0002-7102-9500
  • Al-Bayatti, Ali H
  • 0000-0002-8062-1258
  • Kiraz, Mehmet Sabir
  • 0000-0002-7262-562X
• Publication Date: 2022-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 100490
• Serial:
  • Vehicular Communications
  • Volume: 36
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2214-2096
  • Serial URL: http://www.sciencedirect.com/science/journal/22142096/1/2

Subject/Index Terms

• TRT Terms: Computer security; Data privacy; Intelligent transportation systems; Location data; Vehicle to vehicle communications; Vehicular ad hoc networks
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01850249
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 27 2022 5:19PM