Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
Crossref DOI link: https://doi.org/10.1007/s00521-019-04557-3
Published Online: 2019-10-18
Published Print: 2020-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Aleesa, A. M.
Zaidan, B. B.
Zaidan, A. A.
Sahar, Nan M.
Text and Data Mining valid from 2019-10-18
Version of Record valid from 2019-10-18
Article History
Received: 11 January 2019
Accepted: 5 October 2019
First Online: 18 October 2019
Compliance with ethical standards
:
: The authors declare no conflict of interest.