Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions

• Main Authors: A. M., Aleesa, Zaidan, B. B., Zaidan, A. A., M. Sahar, Nan
• Format: Article
• Language: English
• Published: Springer 2020
• Subjects: T Technology (General); TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• Online Access: http://eprints.uthm.edu.my/5253/1/AJ%202020%20%28121%29.pdf; http://eprints.uthm.edu.my/5253/; https://doi.org/10.1007/s00521-019-04557-3

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 gap in this pivotal research area. The focus is on articles related to the keywords ‘deep learning’, ‘intrusion’ and ‘attac...