An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder

Due to the insidious characteristics of network intrusion behaviors, developing an efficient intrusion detection system is still a big challenge, especially in the era of big data where the number of traffic and the dimension of each traffic feature are high. Because of the shortcomings of tradition...

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Auteurs principaux: Chaofei Tang, Nurbol Luktarhan, Yuxin Zhao
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2020-09-01
Collection:Symmetry
Sujets:
intrusion detection
LightGBM
feature selection
autoencoder
classification
deep learning
Accès en ligne:https://www.mdpi.com/2073-8994/12/9/1458
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