Visible to the public Data-driven Stealthy Actuator Attack against Cyber-Physical Systems

TitleData-driven Stealthy Actuator Attack against Cyber-Physical Systems
Publication TypeConference Paper
Year of Publication2020
AuthorsZhang, Z., Zhang, Q., Liu, T., Pang, Z., Cui, B., Jin, S., Liu, K.
Conference Name2020 39th Chinese Control Conference (CCC)
Date Publishedjul
Keywordsactuator 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
AbstractThis 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 χ2 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.
Citation Keyzhang_data-driven_2020