Deep Learning-Based Intrusion Detection Systems: A Systematic Review

Deep Learning-Based Intrusion Detection Systems: A Systematic Review

Nowadays, the ever-increasing complication and severity of security attacks on computer networks have inspired security researchers to incorporate different machine learning methods to protect the organizations’ data and reputation. Deep learning is one of the exciting techniques which re...

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Bibliographic Details
Main Authors: Jan Lansky, Saqib Ali, Mokhtar Mohammadi, Mohammed Kamal Majeed, Sarkhel H. Taher Karim, Shima Rashidi, Mehdi Hosseinzadeh, Amir Masoud Rahmani
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Intrusion detection
auto-encoder
recurrent neural network
Boltzmann machine
CNN
Online Access:https://ieeexplore.ieee.org/document/9483916/

Internet

https://ieeexplore.ieee.org/document/9483916/

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