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

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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 ‘att...

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Bibliographic Details
Main Authors:	Aleesa, A. M., Zaidan, B. B., Zaidan, A. A, Mad Sahar, Nan
Format:	Article
Language:	English
Published:	Springer 2004
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/610/ http://eprints.uthm.edu.my/610/1/DNJ9611_5742e4b22091ada1af8eb93296b4e73c.pdf

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