A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks
Crossref DOI link: https://doi.org/10.1007/s11227-024-06409-x
Published Online: 2024-08-29
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ayad, Aya G.
Sakr, Nehal A.
Hikal, Noha A.
Funding for this research was provided by:
Mansoura University
Text and Data Mining valid from 2024-08-29
Version of Record valid from 2024-08-29
Article History
Accepted: 30 July 2024
First Online: 29 August 2024
Declarations
:
: The authors declare no conflict of interest.