A resilient framework for sensor-based attacks on cyber–physical systems using trust-based consensus and self-triggered control. (August 2020)

• Record Type: Journal Article
• Authors: Severson, Tracie A.; Croteau, Brien; Rodríguez-Seda, Erick J.; Kiriakidis, Kiriakos; Robucci, Ryan; Patel, Chintan
• Is Part Of: Control engineering practice. Volume 101(2020)
• Publication Date: 2020-08
• Subjects: Cyber–physical systems -- Resilient control -- Multi-agent systems -- Trusted sensors -- Cyber-security -- Fault tolerant control; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2020.104509
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: 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. Highlights: Inclusion of smart automation in cyber–physical systems causes new vulnerabilities. Misrepresentation of data from primary sensors may cause disruption or damage. Secure secondary sensors can dynamically verify the truthfulness of primary sensors. A resilient framework requires an integrated approach fusing security design and system knowledge. Framework is tested on a two-dimensional heat conduction system with multiple secondary sensors.