A Hybrid Intrusion Detection Model Combining SAE with Kernel Approximation in Internet of Things

A Hybrid Intrusion Detection Model Combining SAE with Kernel Approximation in Internet of Things

Owing to the constraints of time and space complexity, network intrusion detection systems (NIDSs) based on support vector machines (SVMs) face the “curse of dimensionality” in a large-scale, high-dimensional feature space. This study proposes a joint training model that combines a stacked autoencod...

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Bibliographic Details
Main Authors: Yukun Wu, Wei William Lee, Xuan Gong, Hui Wang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
stacked auto-encoder
support vector machine
random Fourier feature
kernel approximation
intrusion detection
NSL-KDD
Online Access:https://www.mdpi.com/1424-8220/20/19/5710

Internet

https://www.mdpi.com/1424-8220/20/19/5710

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