A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems

Presently, Supervisory Control and Data Acquisition (SCADA) systems are broadly adopted in remote monitoring large-scale production systems and modern power grids. However, SCADA systems are continuously exposed to various heterogeneous cyberattacks, making the detection task using the conventional...

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Detalles Bibliográficos
Autores principales: Wang, Wu, Harrou, Fouzi, Bouyeddou, Benamar, Senouci, Sidi-Mohammed, Sun, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490144/
https://www.ncbi.nlm.nih.gov/pubmed/34629940
http://dx.doi.org/10.1007/s10586-021-03426-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490144/
https://www.ncbi.nlm.nih.gov/pubmed/34629940
http://dx.doi.org/10.1007/s10586-021-03426-w

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