Securing Vehicular Network Using AI and Blockchain-Based Approaches

Intelligent vehicles have become a common phenomenon whereas establishing secure communication between those vehicles through multiple networks has become a universal solicitude. Vehicular communication aims to provide secure communication and reduce the cost of traffic congestion by processing real-time data. This proliferation paradigm of vehicular systems represents several options for communication such as message sharing and data transmission, and thus it becomes vulnerable in terms of security and privacy. However, artificial intelligence has encountered an undeniable development in every research field including healthcare, transportation management, academia, and genetic engineering. Consequently, blockchain technology has brought plausible accomplishments in those fields where maintaining security is the first precedence. Considering the recent establishments of both artificial intelligence (AI) and blockchain technology, researchers have solved vehicular network-related security problems using those technologies separately and combinedly as well. The common security concerns include Sybil attacks, Denial-of-service (DoS) attacks, man-in-the-middle (MITM) attacks, malicious attacks, which cause data manipulation, data outflow, message delay, and traffic congestion. In this paper, we reviewed recent developments based on research works addressing the issues related to vehicular ad hoc networks and vehicular social networks. We have highlighted the proposed solutions relying on AI and blockchain technologies while identifying new research directions.