Cybersecurity in Autonomous Robotics: Securing AI-Driven Automation
As robotics become more autonomous, cybersecurity threats pose significant risks. Industrial robots, medical robotics, and autonomous vehicles require robust encryption protocols and AI-based anomaly detection to prevent hacking and malfunctions.
Key security technologies in robotics:
End-to-End Encryption (E2EE): Protects robotic communication channels.
Blockchain for Robot Identity Management: Prevents unauthorized control access.
AI-Driven Intrusion Detection (IDS): Uses deep learning models like Variational Autoencoders (VAEs) to detect abnormal robotic behavior.
Cybersecurity is critical in automated supply chains, robotic-assisted medical procedures, and military drone operations, ensuring that robots operate securely under various network conditions.