AI-Enhanced Cybersecurity for Autonomous Vehicles

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Analysis reveals critical cybersecurity risks in autonomous vehicles, highlighting the need for AI-enhanced defenses.

Autonomous vehicles face significant cybersecurity threats, including GPS spoofing and sensor tampering, impacting safety.
The study identifies attack vectors like V2X communication breaches and adversarial manipulation of AI models.
Assessment of AI-driven defenses, such as federated learning and anomaly detection, demonstrates significant potential.
Addressing legal and ethical challenges, this work emphasizes robust cybersecurity to build public trust in autonomous transport.

Yojit Mittal (2025) studied this question.

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