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Detection of False Data Injection Attacks in Smart Grid: A Secure
  Federated Deep Learning Approach

Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach

2 September 2022
Yang Li
Xinhao Wei
Yuan Li
Zhaoyang Dong
M. Shahidehpour
ArXivPDFHTML

Papers citing "Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach"

10 / 10 papers shown
Title
Residual-Evasive Attacks on ADMM in Distributed Optimization
Residual-Evasive Attacks on ADMM in Distributed Optimization
Sabrina Bruckmeier
Huadong Mo
James Qin
AAML
30
0
0
22 Apr 2025
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Muhammad Akbar Husnoo
Adnan Anwar
Md Enamul Haque
A. N. Mahmood
50
1
0
10 Jan 2025
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
Md. Ashraf Uddin
Sunil Aryal
Mohamed Reda Bouadjenek
Muna Al-Hawawreh
Md. Alamin Talukder
AAML
26
5
0
17 Mar 2024
False Data Injection Attacks in Smart Grids: State of the Art and Way
  Forward
False Data Injection Attacks in Smart Grids: State of the Art and Way Forward
Muhammad Irfan
Alireza Sadighian
Adeen Tanveer
Shaikha J. Al‐Naimi
Gabriele Oligeri
29
8
0
20 Aug 2023
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved
  Multi-Agent Soft Actor-Critic Algorithm
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
Jiankai Gao
Yang Li
Bin Wang
Haibo Wu
30
11
0
01 Apr 2023
On the Convergence of Decentralized Federated Learning Under Imperfect
  Information Sharing
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing
Vishnu Pandi Chellapandi
Antesh Upadhyay
Abolfazl Hashemi
Stanislaw H. .Zak
FedML
37
31
0
19 Mar 2023
Optimal scheduling of island integrated energy systems considering
  multi-uncertainties and hydrothermal simultaneous transmission: A deep
  reinforcement learning approach
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach
Yang Li
Fanjin Bu
Yuanzheng Li
Chao Long
25
87
0
27 Dec 2022
Wind Power Forecasting Considering Data Privacy Protection: A Federated
  Deep Reinforcement Learning Approach
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li
Ruinong Wang
Yuanzheng Li
Meng Zhang
Chao Long
34
177
0
02 Nov 2022
Privacy-preserving Spatiotemporal Scenario Generation of Renewable
  Energies: A Federated Deep Generative Learning Approach
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li
Jiazheng Li
Yi Wang
37
153
0
16 Jul 2021
Deep Learning for Intelligent Demand Response and Smart Grids: A
  Comprehensive Survey
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Praveen Kumar
Viet Quoc Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
W. Hwang
43
57
0
20 Jan 2021
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