False Data Injection Attack Detection for Smart Grid Based on Square Root Unscented Kalman Filtering Estimate with Long Short Term Memory Correction-Reference-Cited by-同舟云学术

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False Data Injection Attack Detection for Smart Grid Based on Square Root Unscented Kalman Filtering Estimate with Long Short Term Memory Correction

Published:2024-03-21 Issue:6 Volume:19 Page:3809-3824
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Zhang Jing,Ma Dong-Ming^ORCID

Funder

Yunnan Province Science and Technology Major Project

Applied Basic Research Key Project of Yunnan

Yunnan Province Key Laboratory of Computer Technology Application Open Fund

Yunnan Province “Xingdian Talents Support Plan” Industrial Innovation Talents Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42835-024-01850-7.pdf

Reference47 articles.

1. Canonico R, Sperli G (2023) Industrial cyber-physical systems protection: a methodological review. Comput Secur 135:103531. https://doi.org/10.1016/j.cose.2023.103531

2. Nguyen TT, Mohammadi F (2023) Cyber-physical power and energy systems with wireless sensor networks: a systematic review. J Electric Eng Technol 18(6):4353–4365. https://doi.org/10.1007/s42835-023-01482-3

3. Du D, Zhu M, Li X, Fei M, Bu S, Wu L, Li K (2023) A review on cybersecurity analysis, attack detection, and attack defense methods in cyber-physical power systems. J Mod Power Syst Clean Energy 11(3):727–743. https://doi.org/10.35833/MPCE.2021.000604

4. Husnoo MA, Anwar A, Hosseinzadeh N, Islam SN, Mahmood AN, Doss R (2023) False data injection threats in active distribution systems: a comprehensive survey. Future Gener Comput Syst 140:344–364. https://doi.org/10.1016/j.future.2022.10.021

5. Pinto SJ, Siano P, Parente M (2023) Review of cybersecurity analysis in smart distribution systems and future directions for using unsupervised learning methods for cyber detection. Energies 16(4):1651. https://doi.org/10.3390/en16041651

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