A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE

A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE

Machine learning and deep learning techniques are widely used to evaluate intrusion detection systems (IDS) capable of rapidly and automatically recognizing and classifying cyber-attacks on networks and hosts. However, when destructive attacks are becoming more extensive, more challenges develop, ne...

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Bibliographic Details
Main Authors: Vanlalruata Hnamte, Hong Nhung-Nguyen, Jamal Hussain, Yong Hwa-Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
deep neural networks
network intrusion detection
deep learning
two-stage model
LSTM-AE
Online Access:https://ieeexplore.ieee.org/document/10101759/

Internet

https://ieeexplore.ieee.org/document/10101759/

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