An Efficient Anonymous Authentication with Conditional Privacy-Preserving Scheme for Vehicular Ad-Hoc Networks

Vehicular Ad-hoc Networks (VANETs) facilitate intelligent vehicle monitoring and control., optimize traffic routing., enhance the driving experience., and have a profound impact on transportation systems. However., there are still some challenges in the deployment of VANETs., such as protecting the privacy of users' identities., verifying the integrity of information transmitted., and improving the efficiency of verification. To solve these challenges., this paper proposes an efficient conditional privacy-preserving authentication (CPP A) scheme for V ANETs. In order to achieve anonymity., vehicles use pseudonyms. Furthermore., upon receiving multiple messages., the proposed scheme enables batch verification by the receiver., enhancing overall efficiency. Theoretical analysis and experimental simulations demonstrate the security and feasibility of the scheme.