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A Stream Learning Approach for Real-Time Identification of False Data
  Injection Attacks in Cyber-Physical Power Systems

A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems

13 October 2022
Ehsan Hallaji
R. Razavi-Far
Ming Wang
M. Saif
B. Fardanesh
    AAML
ArXiv (abs)PDFHTML

Papers citing "A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems"

3 / 3 papers shown
Title
Decentralized Federated Learning: A Survey on Security and Privacy
Decentralized Federated Learning: A Survey on Security and Privacy
Ehsan Hallaji
R. Razavi-Far
M. Saif
Boyu Wang
Qiang Yang
FedML
116
39
0
25 Jan 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
54
8
0
20 Aug 2023
Learning From High-Dimensional Cyber-Physical Data Streams for
  Diagnosing Faults in Smart Grids
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids
Hossein Hassani
Ehsan Hallaji
R. Razavi-Far
M. Saif
42
0
0
15 Mar 2023
1