An Efficient Revocation Scheme for Vehicular Ad-Hoc Networks

In Vehicular Ad-Hoc Networks (VANETs), the distribution of certificate revocation information is a security issue to provide safety and efficiency in the transportation system. Most of the current approaches are based on distributing a Certificate Revocation List (CRL) that incurs a large communication overhead, storage space, and checking time. In this work, the authors propose an efficient revocation scheme based on the use of fog computing and Merkle hash trees replacing the time consuming CRL checking process. More specifically, the authors divide the roadway into several domains, in which fog nodes manage the vehicles in a localized manner. Then, they utilize Merkle hash trees to provide a highly scalable way to disseminate the revocation information and ensure the integrity of the certificate’s status. The performance analysis is carried out to demonstrate the effectiveness of the scheme in terms of verification delay compared with the conventional mechanisms.

• Record URL:
  https://doi.org/10.1016/j.procs.2018.03.081
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S187705091830317X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • Copyright © 2018 Elsevier Ltd.
• Authors:
  • Alrawais, Arwa
  • Alhothaily, Abdulrahman
  • Mei, Bo
  • Song, Tianyi
  • Cheng, Xiaolu
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 312-318
• Serial:
  • Procedia Computer Science
  • Volume: 129
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Computer security; Network nodes; Vehicular ad hoc networks; Wireless communication systems
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01672335
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 19 2018 9:33AM