Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study
Crossref DOI link: https://doi.org/10.1007/s11219-022-09587-0
Published Online: 2022-03-19
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Catillo, Marta http://orcid.org/0000-0002-5025-7969
Del Vecchio, Andrea
Pecchia, Antonio
Villano, Umberto
Text and Data Mining valid from 2022-03-19
Version of Record valid from 2022-03-19
Article History
Accepted: 15 February 2022
First Online: 19 March 2022
Declarations
:
: The authors declare no competing interests.