Restart-Based security against laser spoofing drone attacks

This thesis addresses the challenge of enhancing drone resilience against sensor spoofing attacks, particularly focusing on altitude sensors compromised by external interferences such as laser strikes. With the increasing reliance on unmanned aerial vehicles (UAVs) in various applications, ensuring their operational integrity against such vulnerabilities is critical. We explore a combination of sensor redundancy, advanced filtering techniques, and robust control strategies to improve the reliability of drone operations under adversarial conditions.