Application of the unified control and detection framework to detecting stealthy integrity cyber-attacks on feedback control systems
Steven X. Ding, Linlin Li, Dong Zhao, Chris Louen, Tianyu Liu

TL;DR
This paper introduces a unified control and detection framework for identifying stealthy integrity cyber-attacks on feedback control systems, proposing new detection schemes that enhance security without compromising control performance.
Contribution
It defines kernel attacks that evade traditional detection, and develops two novel detection schemes, including encrypted transmission, to reliably identify these attacks in feedback systems.
Findings
Kernel attacks cannot be detected by observer-based residuals alone.
Two detection schemes successfully identify stealthy attacks in simulations.
Encrypted transmission enhances attack detection security.
Abstract
This draft addresses issues of detecting stealthy integrity cyber-attacks on automatic control systems in the unified control and detection framework. A general form of integrity cyber-attacks that cannot be detected using the well-established observer-based technique is first introduced as kernel attacks. The well-known replay, zero dynamics and covert attacks are special forms of the kernel attacks. Existence conditions for the kernel attacks are presented. It is demonstrated, in the unified framework of control and detection, that all kernel attacks can be structurally detected when not only the observer-based residual, but also the control signal based residual signals are generated and used for the detection purpose. Based on the analytical results, two schemes for detecting the kernel attacks are then proposed, which allow reliable attack detection without loss of control…
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Taxonomy
TopicsSmart Grid Security and Resilience · Cryptographic Implementations and Security · Adversarial Robustness in Machine Learning
