An Efficient Revocation Scheme for Vehicular Ad-Hoc Networks

  • Arwa Alrawais
  • , Abdulrahman Alhothaily
  • , Bo Mei
  • , Tianyi Song
  • , Xiaolu Cheng

Research output: Contribution to journalConference articlepeer-review

26 Scopus citations

Abstract

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, we 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, we divide the roadway into several domains, in which fog nodes manage the vehicles in a localized manner. Then, we 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 our scheme in terms of verification delay compared with the conventional mechanisms.

Original languageEnglish
Pages (from-to)312-318
Number of pages7
JournalProcedia Computer Science
Volume129
DOIs
StatePublished - 2018
EventInternational Conference on Identification,Information and Knowledgein The Internet of Things, 2017 - Qufu, China
Duration: 19 Oct 201721 Oct 2017

Keywords

  • Fog computing
  • Merkle hash trees
  • Security
  • Vehicular Ad-Hoc Network (VANET)

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