Safety applications based on vehicle-to-everything (V2X) communications can significantly enhance road safety and reduce traffic fatalities. Ensuring the security and privacy of the vehicular network is essential for the widespread adoption of V2X communications for commercial use. V2X safety and service applications require periodic broadcast communications among all the vehicles. However, compared to unicast communication, it is extremely challenging to provide broadcast communication with network security requirements such as confidentiality, in infotainment contents distribution, sensor data sharing, and security credentials management services. To address the providing confidentiality of vehicle-to-vehicle (V2V) broadcasting, we propose a group key management and message encryption method that is secure, lightweight, and scalable. The proposed group key management method can efficiently handle various scenarios like a node joining or leaving the group, with scalable rekeying algorithms. It employs a distributed and scalable architecture that offers several advantages such as the reduction of the key management overhead and the enhancement of the security level by keeping the key sizes with large networks. In addition, the proposed method employs a lightweight matrix-based encryption algorithm that can be easily applicable with the proposed group key management method. Further, we have implemented the proposed method and evaluated the performance using a V2V network simulator with several networks of highly dynamic group members. The simulation results show that the proposed method can reduce computation time for group key generation and message encryption by more than 80% compared to existing methods.
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 paper, 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.
INDEX TERMSVehicle-to-everything (V2X) network, conditional privacy-preservation, matrix-based authentication.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.