Passer à la navigation principale Passer à la recherche Passer au contenu principal

Misbehavior detection and efficient revocation within VANET

  • Hamssa Hasrouny
  • , Abed Ellatif Samhat
  • , Carole Bassil
  • , Anis Laouiti
  • CNRS UMR 5157 SAMOVAR
  • Lebanese University

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Trustworthy communication in VANET Network is essential to provide functional, efficient and reliable traffic safety applications. The main concern arises on how to maintain only the trustworthy participants and revoke the misbehaving ones. In this paper, we propose a new framework for the certificate revocation process within VANET. This process can be activated by the Misbehavior Detection Systems (MDSs) running within vehicles and the Misbehavior Authority (MA) within the infrastructure, which identifies and excludes misbehaving vehicles to guarantee the long-term functionality of the network. These MDSs rely on the trust evaluation for participating vehicles which is updated continuously based on their behaviors. Therefore, the revocation is done periodically through geographical Certificate Revocation List (CRL) which specifies the certificates of all revoked vehicles within a specific area. This results in a lightweight solution for CRL management and distribution within a modular and secure infrastructure based on Public Key Infrastructure (PKI), group formation and trust evaluation. Simulation scenarios and risk analysis were carried out showing the advantages of the proposed revocation framework.

langue originaleAnglais
Pages (de - à)193-209
Nombre de pages17
journalJournal of Information Security and Applications
Volume46
Les DOIs
étatPublié - 1 juin 2019

Empreinte digitale

Examiner les sujets de recherche de « Misbehavior detection and efficient revocation within VANET ». Ensemble, ils forment une empreinte digitale unique.

Contient cette citation