An Edge Computing-Enabled Decentralized Authentication Scheme for Vehicular Networks

Abstract

The problem of security and privacy in vehicular networks is a vital issue and it attracts increasing attention to address the security vulnerability of vehicular networks. Authentication solutions are introduced in vehicular networks to ensure that network access only comes from authorized users. Particularly, group signature not only offers authentication services in vehicular networks, but also provides conditional privacy preservation. However, the current group signature solution for authentication in vehicular networks exhibits time-consuming signature verification, which is attributed to the centralized certificate revocation list (CRL) management. To overcome this shortcoming, we propose utilizing edge computing approach and design a flexible and efficient decentralized authentication scheme (FEDAS). In the proposed architecture, a decentralized CRL management method is developed to reduce verification delay in the authentication process. In addition, transition zone is proposed to solve reliable authentication problem in border area of the group caused by decentralized architecture. We also conduct extensive simulations to show the effectiveness of our proposed scheme.