Matrix-Based Dynamic Authentication with Conditional Privacy-Preservation for Vehicular Network Security

Abstract

In vehicular networks, messages from vehicles are signed before being broadcasted to ensure the authenticity and integrity of the messages. Due to the high mobility of vehicular networks, frequent key updates are often required, which imposes an excessive burden on the key generation process. In this article, we propose a dynamic authentication with conditional privacy-preservation using matrix-based signature generation (DACOP), which is well suited to Vehicle-To-Everything (V2X) networks. The proposed authentication method also provides conditional privacy by utilizing a dynamic pseudo-identity and anonymity of the vehicle. In addition, it can significantly reduce the computation overhead for signature generation. We implemented DACOP and analyzed its computation and communication overhead compared with previous methods. Furthermore, our experimental results using real V2X networks demonstrate that DACOP reduces the computation time by 90% while enhancing the security level by 2 times over previous methods.