Federated learning-powered real-time behavioral intrusion detection leveraging LSTM, attention, GANs, and large language models
Crossref DOI link: https://doi.org/10.1038/s41598-026-40763-5
Published Online: 2026-02-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
AlHayan, Abdullah
Al-Muhtadi, Jalal
Text and Data Mining valid from 2026-02-22
Version of Record valid from 2026-03-26
Article History
Received: 17 September 2025
Accepted: 16 February 2026
First Online: 22 February 2026
Declarations
:
: The authors declare no competing interests.