Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids-Reference-Cited by-同舟云学术

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Generating Connected, Simple, and Realistic Cyber Graphs for Smart Grids

Published:2022-02-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Texas Power and Energy Conference (TPEC)
language:
Short-container-title:

Author:

Boyaci Osman¹,Narimani M. Rasoul²,Davis Katherine¹,Serpedin Erchin¹

Affiliation:

1. Electrical Engineering Texas A&M University,College Station,TX,77843

2. College of Engineering Arkansas State University,Jonesboro,AR,72404

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9750672/9750680/09750688.pdf?arnumber=9750688

Reference19 articles.

1. Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids

2. Cyberattack detection in large-scale smart grids using chebyshev graph convolutional networks;boyaci;ArXiv Preprint,2021

3. For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

4. Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

5. Reliable communication networks for smart grid transmission systems;velin;Journal of Network and Systems Management,2016

Cited by 1 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. Spatio-Temporal Failure Propagation in Cyber-Physical Power Systems;2022 3rd International Conference on Smart Grid and Renewable Energy (SGRE);2022-03-20

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