Data-Driven Identification of Attack-free Sensors in Networked Control Systems

2023/12/08 by Sribalaji C. Anand, Anand, Sribalaji C., M. S. Chong +3 · 3 citations
Engineering · #Advanced Control Systems Optimization #Extremum Seeking Control Systems #FOS: Electrical engineering #FOS: Mathematics #Fault Detection and Control Systems #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2312.04845

openalex publication_date 2023/12/08 · openalex created_date 2023/12/12 · openalex updated_date 2026/07/28

Abstract

This paper proposes a data-driven framework to identify the attack-free sensors in a networked control system when some of the sensors are corrupted by an adversary. An operator with access to offline input-output attack-free trajectories of the plant is considered. Then, a data-driven algorithm is proposed to identify the attack-free sensors when the plant is controlled online. We also provide necessary conditions, based on the properties of the plant, under which the algorithm is feasible. An extension of the algorithm is presented to identify the sensors completely online against certain classes of attacks. The efficacy of our algorithm is depicted through numerical examples.

Cited by

• Quantifying Security for Networked Control Systems: A Review
• Detection and Identification of Sensor Attacks Using Partially Attack-Free Data
• Data-Driven Resilience Assessment against Sparse Sensor Attacks

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