Abstract
This article presents a robust model matching corrective control scheme for input/state asynchronous sequential machines (ASMs) vulnerable to both fundamental and non-fundamental mode attacks. Specifically, when non-fundamental mode attacks occur, ASMs undergo unauthorized state transitions in their transient behaviors, reaching faulty states. The attack outcome is exacerbated if non-fundamental mode attacks occur during the procedure of model matching by the controller. We address the necessary and sufficient condition and design procedure for a state-burst-feedback corrective controller that eliminates the adverse effect of both fundamental and non-fundamental mode attacks, while matching the stable-state behavior of the closed-loop system to that of a reference model. To demonstrate the synthesis of the controller and applicability of the proposed scheme, a practical ASM termed the payload data manager and the corrective controller are implemented on field-programmable gate array (FPGA) circuits. Experimental results are provided on model matching and robust corrective control overcoming both fundamental and non-fundamental mode attacks.
Original language | English |
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Article number | 120145 |
Journal | Information Sciences |
Volume | 661 |
DOIs | |
State | Published - Mar 2024 |
Keywords
- Asynchronous sequential machines (ASMs)
- Corrective control
- Field-programmable gate array (FPGA)
- Model matching
- Non-fundamental mode attacks