A digital twin and deep-learning ensemble for cyber attack detection in industrial control systems at the IoT edge
Crossref DOI link: https://doi.org/10.1038/s41598-026-53863-z
Published Online: 2026-05-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sayghe, Ali
Alahmadi, Mohammad D.
Gharawi, Abdulrahman A. https://orcid.org/0009-0002-0341-5386
Funding for this research was provided by:
Umm Al-Qura University (26UQU4340316GSSR01)
Text and Data Mining valid from 2026-05-22
Accepted Manuscript valid from 2026-05-22
Article History
Received: 13 October 2025
Accepted: 14 May 2026
First Online: 22 May 2026
Declarations
:
: The authors declare no competing interests.