Increasing the resiliency of power systems in presence of GPS spoofing attacks: A data‐driven deep‐learning algorithm

Increasing the resiliency of power systems in presence of GPS spoofing attacks: A data‐driven deep‐learning algorithm

Abstract The growing use of wireless technologies in power systems has raised concerns about cybersecurity, particularly regarding GPS spoofing attacks (GSAs). These attacks manipulate GPS data, leading to modifications in the phase angle of phasor measurement units (PMUs). In this paper, a Deep‐lea...

Full description

Bibliographic Details
Main Authors: Mohammad Sabouri, Sara Siamak, Maryam Dehghani, Mohsen Mohammadi, Mohammad Hasan Asemani, Mohammad Reza Hesamzadeh, Vedran Peric
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:IET Generation, Transmission & Distribution
Subjects:
cyber security
deep learning structure
GPS spoofing
long short‐term memory (LSTM)
Online Access:https://doi.org/10.1049/gtd2.12929

Internet

https://doi.org/10.1049/gtd2.12929

Similar Items