Detection of Covert Cyber-Attacks in Interconnected Systems: A Distributed Model-Based Approach
| Autor: | Francesca Boem, Thomas Parisini, Angelo Barboni, Hamed Rezaee |
|---|---|
| Přispěvatelé: | Barboni, A., Rezaee, H., Boem, F., Parisini, T. |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Process (engineering) Computer science Distributed computing Distributed element model cyber-security distributed detection 02 engineering and technology Computer Science Applications 0906 Electrical and Electronic Engineering Industrial Engineering & Automation 020901 industrial engineering & automation Control and Systems Engineering Covert 0102 Applied Mathematics Bounded function Electrical and Electronic Engineering 0913 Mechanical Engineering |
| Zdroj: | IEEE Transactions on Automatic Control |
| ISSN: | 2334-3303 0018-9286 |
| DOI: | 10.1109/tac.2020.2998765 |
| Popis: | Distributed detection of covert attacks for linear large-scale interconnected systems is addressed in this article. Existing results consider the problem in centralized settings. This article focuses on large-scale systems subject to bounded process and measurement disturbances, where a single subsystem is under a covert attack. A detection methodology is proposed, where each subsystem can detect the presence of covert attacks in neighboring subsystems in a distributed manner. The detection strategy is based on the design of two model-based observers for each subsystem using only local information. An extensive detectability analysis is provided and simulation results on a power network benchmark are given, showing the effectiveness of the proposed methodology for the detection of covert cyber-attacks. |
| Databáze: | OpenAIRE |
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