Blockchain-Based Authentication and Trust Computation Security Solution for Internet of Vehicles (IoV)

Abstract

A vehicular ad hoc network (VANET) is one of the applications of mobile ad hoc network (MANET). VANET is used to reduce road traffic and accidents to save millions of lives by providing safety applications. Whereas, the current evolution of the Internet is the Internet of Things (IoT), where billions of smart computing devices, including smart vehicles are connected to the Internet to transfer data without human intervention. The existing two technologies VANETs and IoT define new technology called internet of vehicles (IoV). The IoT enables various value-added services; however, IoV is susceptible to various security threats from malicious entities. The collective efforts of researchers enhance security against internal and external attacks. To secure the IoV against the attacks from malicious nodes, most of the existing technologies provided centralized and computation overhead-based solutions. Many researchers have proposed cryptography and trust management-based security solutions. These schemes have their own limitations. The cryptography-based schemes provide security over external attacks, whereas trust management schemes provide security over internal attacks. The new Blockchain technology enables decentralized and distributed operations. The chapter has proposed blockchain-based security solution for IoV to authenticate vehicles, calculate reward points and 158compute new trust value. The proposed Blockchain networks employ both private and public Blockchain networks. The first uniqueness of proposed scheme, it employs the combination of both public and private Blockchains, it is called consortium blockchain And second uniqueness, the transmission and computation overhead in IoV are overcome by making use of deep neural networks at RSUs and ATA. The simulation results and comparative analysis of V2V, V21, private, and public Blockchain networks are presented and it shows performance of the proposed scheme is comparably enhanced by minimizing transmission and computation overheads.