Abstract
Developing autonomous vehicles improve transportation by reducing human involvement and traffic management. Autonomous vehicles depend on Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications for transmitting real-time data such as speed, braking position and road conditions. It handles major cyberattacks such as modified communications, data spoofing, denial of service attacks and unauthorized access that cause accidents, traffic congestion and safety risks. The previous work focuses on cloud servers, roadside devices and delayed response time to privacy attacks. The proposed study develops a decentralized cybersecurity framework for autonomous vehicles to handle these challenges. In this work, each autonomous vehicle will be connected to a smart node on a blockchain-based mesh network allows authorized communication without the need for centralized control. The blockchain ensures data integrity, transparency and authenticity by using permanent records, digital communications and cryptographic keys for modifications. This study contains a self-healing methodology for detecting problems, disconnecting damaged cars and an automated repair mechanism. The results suggest that SHBM improves centralized architectures for future smart transportation systems in terms of attack detection, recovery time, scalability, reliability and road safety.
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