ICPS multi-modal integrated security control based on data-model linkage under dual-end asynchronous DoS attacks

Data-driven technology and model mechanism analysis techniques are combined to study the problem of multi-modal integrated safety control and communication collaborative design, with an eye toward a type of industrial cyber-physical system (ICPS) that is susceptible to dual-end asynchronous denial of service (DoS) attacks and actuator failures. Firstly, an adaptive discrete event triggered communication scheme (ADETCS) with a trigger threshold that can dynamically change with the system behavior is designed, and an ICPS multi-modal integrated safety control architecture that can simultaneously resist asynchronous dual-end DoS attacks and actuator failures is constructed. Secondly, an active-passive collaborative hybrid intrusion tolerance strategy based on data-model linkage is proposed. Then, combined with the idea of “divide and conquer”, a tolerance method for dual-end asynchronous DoS attacks is proposed with the help of a long short-term memory (LSTM) networks and elastic control. Thirdly, the observer and controller are deduced based on Lyapunov stability theory, and then the K-Means++ clustering algorithm and fuzzy fusion method are used to perform weighted fusion of controllers under different modes online, thus realizing soft switching between different control modes. Finally, the effectiveness of the proposed method is verified through a four-tank example. According to the experimental results, the data-model linkage method improves ICPS's resistance to dual-end asynchronous DoS attacks, and the multi-modal integrated safety controller's design enables two-way adaptive cooperative control between the ADETCS and control mode.