Machine learning-based intrusion detection for achieving cybersecurity in smart grids using IEC 61850 GOOSE messages

Machine learning-based intrusion detection for achieving cybersecurity in smart grids using IEC 61850 GOOSE messages

10.3390/sym13050826

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Bibliographic Details
Main Authors: Ustun, Taha Selim, Suhail Hussain, S.M., Ulutas, Ahsen, Onen, Ahmet, Roomi, Muhammad M., Mashima, Daisuke
Other Authors: DEPARTMENT OF COMPUTER SCIENCE
Format: Article
Published: MDPI AG 2022
Subjects:
Artificial intelligence
GOOSE message security
IEC 62351
Intrusion detection
Smart grid cybersecurity
Online Access:https://scholarbank.nus.edu.sg/handle/10635/232162
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Institution: National University of Singapore

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https://scholarbank.nus.edu.sg/handle/10635/232162

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