Singapore Academic Cybersecurity R&D

Harnessing R&D to Secure our Nation

Cyber Security Solutions for Smart Traffic Control Systems
 

• Lead PIs : Bo An, Associate Professor, NTU ( boan@ntu.edu.sg ) and Nick Jennings, Vice-Provost (Research and Enterprise), Imperial College London ( n.jennings@imperial.ac.uk )
• Host Institution : School of Computer Science and Engineering, NTU
• Partner Institution : Imperial College London

I. Goal

Model the traffic control systems and major attack scenarios, develop first generation approaches, and systems that can quickly detect the malicious behaviour and effectively deploy security resources that will protect the system against a wide range of sophisticated strategic adversaries, build simulator and test bed to demonstrate the feasible and efficient of our approach.

II. Technologies

A Game Theoretic Defence Mechanism against Data Poisoning attacks

• Attacker can poison sensor data to affect intelligent traffic control.
• A verification based defense mechanism that request a limited number of automatically scheduled data to verify whether the system is under attack.

Optimal Escape Interdiction on Transportation Networks

• A new defender-attacker security game model for escape interdiction on transportation networks.
• Dynamically relocate security resources (e.g., police cars) to interdict attacker.