A mechanism to detect load redistribution attacks in interdependent gas and power systems based on deep learning-Reference-Cited by-同舟云学术

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A mechanism to detect load redistribution attacks in interdependent gas and power systems based on deep learning

Published:2023-10-14 Issue: Volume: Page:
ISSN:2520-8160
Container-title:Multiscale and Multidisciplinary Modeling, Experiments and Design
language:en
Short-container-title:Multiscale and Multidiscip. Model. Exp. and Des.

Author:

Song Leizhen,Lin Danfeng,Liu Yanan

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Mechanics of Materials,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s41939-023-00251-z.pdf

Reference32 articles.

1. An Y, Liu D (2019) Multivariate Gaussian-based false data detection against cyber-attacks. IEEE Access 7:119804–119812

2. An D, Yang Q, Liu W et al (2019) Defending against data integrity attacks in smart grid: a deep reinforcement learning-based approach. IEEE Access 7:110835–110845

3. Arroyo JM (2010) Bilevel programming applied to power system vulnerability analysis under multiple contingencies. IET Gener Transm Distrib 4(2):178–190

4. Che L, Liu X, Li Z, Wen Y (2019a) False data injection attacks induced sequential outages in power systems. IEEE Trans Power Syst 34(2):1513–1523

5. Che L, Liu X, Li Z (2019b) Mitigating false data attacks induced overloads using a corrective dispatch scheme. IEEE Trans Smart Grid 10(3):3081–3091

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