Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/5253/1/AJ%202020%20%28121%29.pdf |