Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges

Deep learning (DL) is gaining significant prevalence in every field of study due to its domination in training large data sets. However, several applications are utilizing machine learning (ML) methods from the past several years and reported good performance. However, their limitations in terms of...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 25; číslo 15; s. 9731 - 9763
Hlavní autoři:	Kocher, Geeta, Kumar, Gulshan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2021
Témata:	Artificial Intelligence Computational Intelligence Control Engineering Foundations Mathematical Logic and Foundations Mechatronics Robotics Deep learning Recurrent neural network Deep belief network Intrusion detection system Network intrusion detection system
ISSN:	1432-7643, 1433-7479
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