Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review-Reference-Cited by-同舟云学术

Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review

Published:2024-06-01 Issue:11 Volume:11 Page:18951-18975
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Zhenyong¹^ORCID,Liu Mengxiang²,Sun Mingyang³^ORCID,Deng Ruilong³^ORCID,Cheng Peng³^ORCID,Niyato Dusit⁴^ORCID,Chow Mo-Yuen⁵^ORCID,Chen Jiming³^ORCID

Affiliation:

1. State Key Laboratory of Public Big Data, College of Computer Science and Technology, the Text Computing and Cognitive Intelligence Engineering Research Center of National Education Ministry, and the Guizhou Provincial Key Laboratory of Cryptography and Blockchain Technology, Guizhou University, Guiyang, China

2. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.

3. State Key Laboratory of Industrial Control Technology and the College of Control Science and Engineering, Zhejiang University, Hangzhou, China

4. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

5. UMCSJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Central Universities

National Research Foundation Singapore and MOE Tier 1

Key Laboratory of CS&AUS of Zhejiang Province

Guizhou Provincial Science and Technology Projects

Guizhou Provincial Research Project (Youth) for Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10536937/10380506.pdf?arnumber=10380506

Reference195 articles.

1. Edge-cloud Computing Systems for Smart Grid: State-of-the-art, Architecture, and Applications

2. Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids

3. Governing AI in Electricity Systems: Reflections on the EU Artificial Intelligence Bill

4. Artificial intelligence technology strategy

5. An Estimation and Evaluation of Power System Transient Security

Cited by 2 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. Attacking Learning-based Models in Smart Grids: Current Challenges and New Frontiers;The 15th ACM International Conference on Future and Sustainable Energy Systems;2024-05-31