Enhancing Cybersecurity and Threat Detection in Vehicular Ad-Hoc Networks (VANETs) using Blockchain and Fallback Policy

In the era of autonomous vehicles, Vehicular Ad-hoc networks (VANETs) are critical components of any Intelligent Transportation System (ITS). A Cyber security challenge makes VANETs vulnerable to various attacks, threats and challenges such as data manipulation, data tampering, denial-of-service attacks, privacy breaches and jamming of networks. This paper tries to explore the various cyber security challenges in VANETs and proposes an enhanced threat detection framework comprising deep-learning techniques and blockchain technology. The proposed framework aims to improve the detection accuracy of malicious activities and ensure secure communication among vehicles and infrastructure. Thus, saving lives and costs involved by a better fallback policy or contingency plan.