Converter-based Moving Target Defense Against Deception Attacks in DC Microgrids-Reference-Cited by-同舟云学术

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Converter-based Moving Target Defense Against Deception Attacks in DC Microgrids

Published:2021 Issue: Volume: Page:1-1
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Liu Mengxiang,Zhao Chengcheng,Zhang Zhenyong,Deng Ruilong,Cheng Peng,Chen Jiming

Funder

Zhejiang Provincial Key R and D Program

Science and Technology Innovation 2030 Program

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/5446437/09621221.pdf?arnumber=9621221

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Cyber-Resiliency of DER-Based Smart Grid: A Survey;IEEE Transactions on Smart Grid;2024-09

2. Scalable Fuzzy Control for Nonlinear DC Microgrids Under Plug-and-Play Operations;IEEE Transactions on Fuzzy Systems;2024-08

3. CDQKL: Consensus-Based Distributed Quantum Kernel Learning;2024 International Conference on Quantum Communications, Networking, and Computing (QCNC);2024-07-01

4. Enhancing Sensor Attack Detection and Mitigating Sensor Compromise Impact in a Switching-Based Moving Target Defense;2024 European Control Conference (ECC);2024-06-25

5. Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review;IEEE Internet of Things Journal;2024-06-01

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