Secure Autonomus Sysmtems

Contents

This course introduces students to the security challenges and design principles of autonomous systems, with a focus on real-time constraints and sensing technologies. Topics include system architecture, sensing and perception (e.g., camera and lidar-based), secure communication (wired and wireless), and both reactive and preventive security mechanisms such as intrusion detection and cryptography. The course also covers security challenges of emerging topics like collaborative perception and multimodal sensing.

The course combines traditional lectures with hands-on lab sessions to reinforce key concepts through practical application. Students will work in small groups on guided lab tasks that reflect real-world security scenarios in autonomous systems, as presented in the lectures. Learning is assessed through graded lab assignments and a final oral exam, evaluating both practical skills and conceptual understanding

 Study Goals

Upon successful completion of the module, the student should be able to:

1. Demonstrate knowledge of the security issues of the autonomous systems
2. Understand the vulnerabilities that threaten different aspects of autonomous systems and the countermeasures used to protect these systems. 
3. Gain practical knowledge and skills to demonstrate attacks and mitigations against autonomous system components.

Requirements

Basic knowledge of security, networking, and programming is recommended. Completing the IoT Security course is preferable.