Reinforcement Learning-Based Method to Exploit Vulnerabilities of False Data Injection Attack Detectors in Modular Multilevel Converters

Burgos-Mellado, Claudio; Zuñiga-Bauerle, Claudio; Muñoz-Carpintero, Diego; Arias-Esquivel, Yeiner; Càrdenas-Dobson, Roberto; Dragičević, Tomislav; Donoso, Felipe; Watson, Alan

doi:10.1109/TPEL.2023.3263728

All Outputs (4)

A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges (2023)
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Multi-port DC-DC converters are a promising solution for a wide range of applications involving multiple DC sources, storage elements, and loads. Multi-active bridge (MAB) converters have attracted the interest of researchers over the past two decade... Read More about A Survey on Multi-Active Bridge DC-DC Converters: Power Flow Decoupling Techniques, Applications, and Challenges.

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The exponential increase in Global greenhouse gas (GHG) emissions and the rapid depletion of fossil fuels over the past few decades have swayed the transportation sector toward becoming more electric. In the last decade, with continuous improvements... Read More about Powering Maritime: Challenges and prospects in ship electrification.

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A high performance auxiliary power supply (APS) with multiple isolated outputs plays a crucial role in ensuring the effective operation of power converter systems. An isolated resonant current source converter is usually adopted as the APS in medium-... Read More about A Class-E-Based Multichannel Auxiliary Power Supply with Individual Hysteresis Control.

Reinforcement Learning-Based Method to Exploit Vulnerabilities of False Data Injection Attack Detectors in Modular Multilevel Converters (2023)
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Implementing control schemes for modular multilevel converters (M2Cs) involves both a cyber and a physical level, leading to a cyber-physical system (CPS). At the cyber level, a communication network enables the data exchange between sensors, control... Read More about Reinforcement Learning-Based Method to Exploit Vulnerabilities of False Data Injection Attack Detectors in Modular Multilevel Converters.