An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers-Reference-Cited by-同舟云学术

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An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers

Published:2018-07 Issue:4 Volume:9 Page:2398-2408
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Hao Jianye^ORCID,Kang Eunsuk,Sun Jun,Wang Zan^ORCID,Meng Zhaopeng,Li Xiaohong^ORCID,Ming Zhong

Funder

National Key Technology Research and Development Program of China

National Natural Science Foundation of China

Tianjin Research Program of Application Foundation and Advanced Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/8388565/07570183.pdf?arnumber=7570183

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. DAMGAT-Based Interpretable Detection of False Data Injection Attacks in Smart Grids;IEEE Transactions on Smart Grid;2024-07

2. A constructive Steiner graph matching for Radio frequency identification device tag detection in wireless and internet of things environment;International Journal of Communication Systems;2024-04-21

3. Cyber resilience of power electronics-enabled power systems: A review;Renewable and Sustainable Energy Reviews;2024-01

4. Addressing implicit bias in adversarial imitation learning with mutual information;Neural Networks;2023-10

5. A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grids;ACM Computing Surveys;2023-07-17

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