Secure state and output estimation for accommodation of false data injection attacks in large-scale systems
Hanieh Tabatabaei (University of British Columbia)
A. J. Gallo (TU Delft - Team Riccardo Ferrari)
Ahmad W. Al-Dabbagh (University of British Columbia)
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Abstract
In this paper, we address the problem of secure estimation in networked systems, by focusing on false data injection attacks in large-scale systems, where malicious attackers alter the original transmitted data between subsystems. We propose a technique that ensures asymptotic secure estimation of the original transmitted data under two attack classes, termed stealthy and non-stealthy, while also providing detection and isolation capabilities. We give conditions under which asymptotic recovery of nominal performance is guaranteed, thus providing the large-scale system with resilience. Furthermore, we demonstrate the effectiveness of the proposed technique through a simulation-based case study.
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