ERSRKGA: Encrypted Resource Sharing for Resisting Keyword Guessing Attacks in IoV

Benefiting from the Internet of Vehicles (IoV), modern vehicles are no longer just transportation, but enablers of safe, intelligent, and efficient driving and mobility services. Vehicles increasingly demand environmental information and entertainment resources during operation. These resources are hosted in the cloud, and vehicle terminals query and access them via keywords. However, the ciphertext of resource keywords and trapdoor are transmitted in complex network environments, where simple encryption methods are highly vulnerable to keyword guessing attacks (KGA). Furthermore, single query methods and suboptimal resource sharing mechanisms are no longer viable. Thus, we propose an encrypted resource sharing scheme resisting keyword guessing attacks (ERSRKGA) for the IoV. The ERSRKGA ensures information security through advanced encryption and decryption technologies, combined with re-randomization during transmission. Based on attribute-based encryption, vehicles obtain legitimate attribute weights and participate in resource sharing via a confidential attribute authentication mechanism. The scheme's flexible and refined query functionality meets vehicles' diverse search requirements, including AND, NOT, and wildcard operators, and realizes fine-grained access control. Subsequently, the correctness of ERSRKGA and its resistance to KGA are verified. We compare ERSRKGA with other state-of-the-art schemes in terms of functionality, computational complexity, time overhead, and energy consumption. Experimental results demonstrate that ERSRKGA outperforms the compared schemes.