Securing Intelligent Vehicles: Authentication and Bilateral Control via Inner Product Matchmaking Encryption

The intelligent vehicle (IV) manufacturing industry is flourishing, but its large-scale adoption and application require not only ensuring driving safety and high-quality service but also addressing a multitude of data security threats. Among these, authentication and unauthorized access are significant factors hindering its implementation. To ensure the secure communication and operation of IVs, we propose an new matchmaking encryption scheme with inner product, which supports bilateral control, as well as authentication with anonymity. As a cornerstone of this article, we design a secure attribute-based anonymous credential scheme, enabling authentication. Moreover, by introducing the dual-policy of inner product, the authenticating process ensures the vehicle privacy through anonymity. We formalize the definitions of authentication and anonymity and prove that our scheme satisfies these properties. Compared with the most related works, the experimental results demonstrate that our scheme provides enhanced security while maintaining comparable computational overhead. Notably, the computational performance in encryption, verification, and decryption processes is impressive. The high efficiency of these processes makes them well-suited for resource-constrained devices in IVs.