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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"

21 / 21 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
35
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
70
1
0
10 Jan 2025
Federated Learning Forecasting for Strengthening Grid Reliability and
  Enabling Markets for Resilience
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
Lucas Pereira
V. J. Nair
Bruno Dias
Hugo Morais
Anuradha Annaswamy
18
0
0
16 Jul 2024
Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal
  Power Flow in Future Power Systems: A Review
Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal Power Flow in Future Power Systems: A Review
Yuyan Li
39
1
0
14 Apr 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
Vishnu Pandi Chellapandi
Antesh Upadhyay
Abolfazl Hashemi
Stanislaw H. .Zak
FedML
35
2
0
20 Mar 2024
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
39
6
0
17 Mar 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep
  Learning Locational Detection
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection
Jiwei Tian
Chao Shen
Buhong Wang
Xiaofang Xia
Meng Zhang
Chenhao Lin
Qian Li
43
36
0
29 Jan 2024
Localization of Dummy Data Injection Attacks in Power Systems
  Considering Incomplete Topological Information: A Spatio-Temporal Graph
  Wavelet Convolutional Neural Network Approach
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Zhaoyang Qu
Yunchang Dong
Yang Li
Siqi Song
Tao Jiang
...
Qiming Wang
Lei Wang
Xiaoyong Bo
Jiye Zang
Qi Xu
40
30
0
27 Jan 2024
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures
  for Smart Grid Networks: A Survey
The Role of Deep Learning in Advancing Proactive Cybersecurity Measures for Smart Grid Networks: A Survey
Nima Abdi
A. Albaseer
M. Abdallah
AI4CE
46
20
0
11 Jan 2024
Mitigating Data Injection Attacks on Federated Learning
Mitigating Data Injection Attacks on Federated Learning
O. Shalom
Amir Leshem
W. U. Bajwa
32
2
0
04 Dec 2023
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
34
8
0
20 Aug 2023
Federated Learning Based Distributed Localization of False Data
  Injection Attacks on Smart Grids
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids
Cihat Keçeci
K. Davis
E. Serpedin
17
0
0
17 Jun 2023
The State of the Art in transformer fault diagnosis with artificial
  intelligence and Dissolved Gas Analysis: A Review of the Literature
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature
Yuyan Li
AI4CE
34
5
0
24 Apr 2023
FedDiSC: A Computation-efficient Federated Learning Framework for Power
  Systems Disturbance and Cyber Attack Discrimination
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
FedML
32
18
0
07 Apr 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
12
0
01 Apr 2023
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power
  System Fault and Cyberattack Discrimination
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
16
8
0
28 Mar 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
40
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
30
88
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
39
178
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
42
154
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
Quoc-Viet Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
Won Joo Hwang
46
57
0
20 Jan 2021
1