| Title | Data-driven Stealthy Actuator Attack against Cyber-Physical Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, Z., Zhang, Q., Liu, T., Pang, Z., Cui, B., Jin, S., Liu, K. |
| Conference Name | 2020 39th Chinese Control Conference (CCC) |
| Date Published | jul |
| Keywords | actuator security, actuators, arbitrary detectors, attack signal, composability, computer network security, convex optimization problem, convex programming, Covariance matrices, cyber-physical system security, Cyber-physical systems, data-driven, data-driven stealthy actuator attack, detection rate, Detectors, Electronic mail, Human Behavior, Metrics, pubcrawl, Resiliency, security, stealthy attack, Technological innovation |
| Abstract | This paper studies the data-driven stealthy actuator attack against cyber-physical systems. The objective of the attacker is to add a certain bias to the output while keeping the detection rate of the h2 detector less than a certain value. With the historical input and output data, the parameters of the system are estimated and the attack signal is the solution of a convex optimization problem constructed with the estimated parameters. The extension to the case of arbitrary detectors is also discussed. A numerical example is given to verify the effectiveness of the attack. |
| DOI | 10.23919/CCC50068.2020.9188918 |
| Citation Key | zhang_data-driven_2020 |
Data-driven Stealthy Actuator Attack against Cyber-Physical Systems