Localizing False Data Injection Attacks in Smart Grid: A Spectrum-Based Neural Network Approach-Reference-Cited by-同舟云学术

Localizing False Data Injection Attacks in Smart Grid: A Spectrum-Based Neural Network Approach

Author:

Peng Sha¹^ORCID,Zhang Zhenyong²^ORCID,Deng Ruilong¹^ORCID,Cheng Peng¹^ORCID

Affiliation:

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

2. State Key Laboratory of Public Big Data and the College of Computer Science and Technology, Guizhou University, Guiyang, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Xiaomi Foundation

Fundamental Research Funds for the Central Universities

Guizhou Provincial Research Project (Youth) for Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

Reference36 articles.

2. Semi-supervised classification with graph convolutional networks;kipf;Proc 5th Int Conf Learn Represent (ICLR),2017

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