Robotics
Cyber-Physical Threat Horizon
Code: ANX-RO-002
Investigate whether cyber-physical systems can predict a dangerous physical consequence several seconds before it occurs, by tracking the earliest reliable cyber signals along the attack timeline.
Why it matters
The interval between the first anomalous signal and physical damage is the only window in which a system can protect itself and the people around it. If a robot can recognize a threat at T−10s instead of reacting at T, mitigation becomes possible rather than reactionary. The Cyber-Physical Threat Horizon is the attempt to measure, predict, and use that window.
Research gap
How much measurable warning time exists between the earliest reliable cyber signal and the eventual physical consequence — and whether that window can be formalized as a usable security metric — remains a largely open empirical and modeling question that crosses cybersecurity, robotics, and control theory.
Research questions
- 01 How much measurable warning time exists between the earliest reliable cyber signal and the eventual physical consequence?
- 02 Which signals — network anomalies, sensor timing drift, unexpected command sequences, navigation inconsistency — remain informative at each point in the threat timeline?
- 03 Can a single Threat Horizon score be derived, in real time, from the earliest available signals?
- 04 How does the effective horizon vary across vehicles, drones, and industrial robotic systems?
Suggested technologies
Required skills
Team and supervisor
2-4 researchers, supervised by Muhammad Qasim.
Suitable for: Robotics, Cybersecurity, AI, Control Systems, Embedded.
Expected deliverables
- Definition and experimental evaluation of the Cyber-Physical Threat Horizon metric
- Warning-time benchmark across simulated cyber-physical attack scenarios
- Research paper analyzing the measured warning window before physical consequences
Work on this problem
Apply to the lab and this problem becomes your supervised research project.