Optimized common features selection and deep-autoencoder (OCFSDA) for lightweight intrusion detection in Internet of things
Crossref DOI link: https://doi.org/10.1007/s10207-024-00855-7
Published Online: 2024-04-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Otokwala, Uneneibotejit
Petrovski, Andrei
Kalutarage, Harsha
Text and Data Mining valid from 2024-04-30
Version of Record valid from 2024-04-30
Article History
First Online: 30 April 2024
Declarations
:
: I declare that the authors have no conflict of interest.
: The study did not involve the use of humans or animals.