Towards robust and efficient intrusion detection in IoMT: a deep learning approach addressing data leakage and enhancing model generalizability
Crossref DOI link: https://doi.org/10.1007/s11042-024-19916-z
Published Online: 2024-07-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Bouke, Mohamed Aly https://orcid.org/0000-0003-3264-601X
El Atigh, Hayate
Abdullah, Azizol
Text and Data Mining valid from 2024-07-30
Version of Record valid from 2024-07-30
Article History
Received: 26 January 2024
Revised: 1 July 2024
Accepted: 19 July 2024
First Online: 30 July 2024
Declarations
:
: There is no conflict of interest between the authors.
: No additional information is available for this paper.