AI-Enhanced Cybersecurity for Autonomous Vehicles

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This analysis identifies cybersecurity risks for autonomous vehicles, highlighting AI defenses and ethical concerns.

Critical cybersecurity risks stem from the reliance on artificial intelligence, exposing autonomous vehicles to various attacks.
GPS spoofing and sensor tampering were identified as major threats, necessitating robust AI-driven defenses for safety.
Anomaly recognition and intrusion detection formed the core of the examined AI-enhanced cybersecurity mechanisms.
Emerging technologies like blockchain integration and quantum-resistant cryptography may bolster overall security measures.

Yojit Mittal (2025) studied this question.

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