Coot Optimization with Deep Learning-Based False Data Injection Attack Recognition-Reference-Cited by-同舟云学术

Coot Optimization with Deep Learning-Based False Data Injection Attack Recognition

Published:2023 Issue:1 Volume:46 Page:255-271
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Satyanarayana Murthy T.,Udayakumar P.,Alenezi Fayadh,Laxmi Lydia E.,Khairi Ishak Mohamad

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v46n1/51319/pdf

Reference21 articles.

1. The cyber security of battery energy storage systems and adoption of data-driven methods;Kharlamova,2020

2. False data injection attacks in internet of things;Bostami,2018

3. H. T. Reda, A. Anwar, A. N. Mahmood and Z. Tari, “A taxonomy of cyber defence strategies against false data attacks in smart grid,” arXiv preprint arXiv:2103.16085, 2021. https://doi.org/10.48550/arXiv.2103.16085.

4. Comprehensive survey and taxonomies of false data injection attacks in smart grids: Attack models, targets, and impacts;Reda;Renewable and Sustainable Energy Reviews,2022

5. Review on IoT based smart grid architecture implementations;Mugunthan;Journal of Electrical Engineering and Automation,2019

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