Deep learning techniques to detect cybersecurity attacks: a systematic mapping study
Crossref DOI link: https://doi.org/10.1007/s10664-023-10302-1
Published Online: 2023-05-09
Published Print: 2023-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Torre, Damiano http://orcid.org/0000-0002-1656-3057
Mesadieu, Frantzy
Chennamaneni, Anitha
Text and Data Mining valid from 2023-05-01
Version of Record valid from 2023-05-01
Article History
Accepted: 6 February 2023
First Online: 9 May 2023
Declarations
:
: The authors declared that they have no conflict of interest.