Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach-Reference-Cited by-同舟云学术

Detection and reconstruction of measurements against false data injection and DoS attacks in distribution system state estimation: A deep learning approach

Published:2023-03 Issue: Volume:210 Page:112565
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Raghuvamsi Y.,Teeparthi Kiran^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference57 articles.

1. A survey on state estimation techniques and challenges in smart distribution systems;Dehghanpour;IEEE Trans. Smart Grid,2019

2. Locational detection of the false data injection attack in a smart grid: A multilabel classification approach;Wang;IEEE Internet Things J.,2020

3. Big data-driven detection of false data injection attacks in smart meters;Ünal;IEEE Access,2021

4. A review of false data injection attacks against modern power systems;Liang;IEEE Trans. Smart Grid,2017

5. Complementarity reformulations for false data injection attacks on PMU-only state estimation;Alexopoulos;Electr. Power Syst. Res.,2020

Cited by 12 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. Distribution system state estimation using physics-guided deep learning approach;Electric Power Systems Research;2024-11

2. An Anomaly Detection Model Based on Deep Auto-Encoder and Capsule Graph Convolution via Sparrow Search Algorithm in 6G Internet of Everything;IEEE Internet of Things Journal;2024-09-15

3. Securing the grid: A comprehensive analysis of cybersecurity challenges in PMU-based cyber-physical power networks;Electric Power Systems Research;2024-08

4. An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids;Electric Power Systems Research;2024-07

5. Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids;Global Energy Interconnection;2024-06