Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108763
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Title: Detection of stealthy false data injection attacks in modular multilevel converters
Authors: Chen, X 
Song, S
Issue Date: Sep-2023
Source: Energies, Sept 2023, v. 16, no. 17, 6353
Abstract: A modular multilevel converter (MMC) in a high-voltage direct-current (HVDC) transmission system consists of an electric-coupled physical system and a communication-coupled cyber system, leading to a cyber-physical system (CPS). Such a CPS is vulnerable to false data injection attacks (FDIA), which are the main category of cyberattacks. FDIAs can be launched by injecting false data into the control or communication system of the MMC to change the submodule (SM) capacitor voltage seen by the central controller. Consequently, the capacitor voltage of the attacked SM will deviate from its normal value and thus threaten the safe operation of the converter. Stealthy FDIAs characterized by elaborated attack sequences are more dangerous because they can deceive and bypass the attack detector presented in the existing literature for the MMC. To address this issue, this paper proposes a stealthy FDIA detection method to obtain the real SM capacitor voltages. Thus, the attacked SM can be located by comparing its real capacitor voltage with prespecified thresholds. Simulation results validate the effectiveness of the proposed detection and protection strategies.
Keywords: Cyberattack
Modular multilevel converter
Stealthy false data injection attack
Publisher: MDPI AG
Journal: Energies 
EISSN: 1996-1073
DOI: 10.3390/en16176353
Rights: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Chen X, Song S. Detection of Stealthy False Data Injection Attacks in Modular Multilevel Converters. Energies. 2023; 16(17):6353 is available at https://doi.org/10.3390/en16176353.
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