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Quantized Zero Dynamics Attacks Against Sampled-Data Control Systems
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DOI：10.1109/TAC.2023.3338051.png)
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Abstract
En 中文
For networked control systems, cyber-security issues have gained much attention in recent years. In this article, we consider the so-called zero dynamics attacks, which form an important class of false data injection attacks, with a special focus on the effects of quantization in a sampled-data control setting. When the attack signals must be quantized, some error will be necessarily introduced, potentially increasing the chance of detection through the output of the system. In this article, we show, however, that the attacker may reduce such errors by avoiding to directly quantize the attack signal. We look at two approaches for generating quantized attacks which can keep the error in the output smaller than a specified level by using the knowledge of the system dynamics. The methods are based on a dynamic quantization technique and a modified version of zero dynamics attacks. Numerical examples are provided to verify the effectiveness of the proposed methods.
Keywords:
Quantization (signal)
Security
Sampled data systems
Power system dynamics
Feedforward systems
System dynamics
Networked control systems
Cyber security
false-data injections
networked control systems
quantization
zero dynamics attacks
Journal
IF:
7
Papers:
1.3W
Citations:
6.7W
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