Enhancing Cybersecurity in Autonomous Vehicles through Artificial Intelligence

Abstract

The study explores the application of artificial intelligence in enhancing cybersecurity measures for autonomous vehicles. As these vehicles become increasingly reliant on complex software, they are vulnerable to various cyber threats. The research discusses AI techniques such as anomaly detection and threat intelligence to safeguard vehicle systems. The paper demonstrates how AI can dynamically respond to threats and adapt to new attack vectors, thereby ensuring robust security. With a focus on real-world applications, the study provides a comprehensive overview of current challenges and potential solutions in securing autonomous vehicle networks.

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