Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
AM Aleesa, BB Zaidan, AA Zaidan… - Neural Computing and …, 2020 - dl.acm.org
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
[PDF][PDF] Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis …
AM Aleesa, BB Zaidan, AA Zaidan, NM Sahar - researchgate.net
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
AM Aleesa, BB Zaidan, AA Zaidan… - Neural Computing & …, 2020 - search.ebscohost.com
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
AM Aleesa, BB Zaidan, AA Zaidan… - Neural Computing & …, 2020 - search.proquest.com
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
AM Aleesa, BB Zaidan, AA Zaidan… - Neural Computing and …, 2004 - eprints.uthm.edu.my
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and …
A AM, BB Zaidan, AA Zaidan… - Neural Computing and …, 2020 - eprints.uthm.edu.my
This study reviews and analyses the research landscape for intrusion detection systems
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …
(IDSs) based on deep learning (DL) techniques into a coherent taxonomy and identifies the …