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A resilient framework for sensor-based attacks on cyber-physical systems using trust-based consensus and self-triggered control
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DOI：10.1016/j.conengprac.2020.104509.png)
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摘要
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In networked Cyber-Physical Systems, fidelity of sensor data is critical for the safe operation of the physical plant. Misrepresentation of the data fed back by a primary sensor may cause service disruption or damage to the wider plant through interconnected physical processes. A framework for the recovery of control after an attack has been detected is developed with the following key concepts: (I) a collection of secure secondary sensors that measure energy emissions from components of the system to provide an assessment of the primary sensors' trust status; (II) a trust-weighted consensus algorithm that fuses estimates from observers of interconnected processes with information from the secondary sensors to accurately reconstruct the state of the attacked process; and (III) a communication-aware self-triggered control protocol that regulates the attacked process using the consented estimate in the absence of reliable data from its primary sensor. The framework is physically tested on a two-dimensional heat conduction system with two kinds of secondary sensors.
Keyword:
Cyber-physical systems
Resilient control
Multi-agent systems
Trusted sensors
Cyber-security
Fault tolerant control
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A survey on security control and attack detection for industrial cyber-physical systems工业网络物理系统安全控制与攻击检测综述.png)
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