Cyber Security Framework for AI-Enabled Robotics and Drone Systems
Muhammad Danyal Javed, Sher Taj, Rahim Khan, Shantanu Awasthi, Hina Hassan, Xinyue Xu, Muneer Khan · Advances in computational intelligence and robotics book series · 2025
The smooth out integration of Artificial Intelligence (AI) in drones and robotic systems has dramatically changed industries, from manufacturing to logistics, healthcare, and to close observation surveillance. This process has enabled unprecedented precision, efficiency, and process for innovation. However, it also introduces unknown before cybersecurity risks, compromising the confidentiality of robotics system, integrity, and availability of critical data. As AI-enabled robotic and drone systems have become increasingly linked, they are weak harm to revealing cyber threats. These kinds of threats include unauthorized access, not having approval data breaches (failing to observe), system failures, and potential disruptions for prevent progress to critical infrastructure. The relevance of mention breaches can be harsh, ranging from compromised safety to financial losses and security. This chapter provides a comprehensive examination of cybersecurity frameworks specifically designed for AI-enabled drones and robotic systems.