Intelligent Unsupervised Network Traffic Classification Method Using Adversarial Training and Deep Clustering for Secure Internet of Things

Intelligent Unsupervised Network Traffic Classification Method Using Adversarial Training and Deep Clustering for Secure Internet of Things

Network traffic classification (NTC) has attracted great attention in many applications such as secure communications, intrusion detection systems. The existing NTC methods based on supervised learning rely on sufficient labeled datasets in the training phase, but for most traffic datasets, it is di...

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Bibliographic Details
Main Authors: Weijie Zhang, Lanping Zhang, Xixi Zhang, Yu Wang, Pengfei Liu, Guan Gui
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Future Internet
Subjects:
network traffic classification
convolutional adversarial autoencoder
Internet of things
unsupervised learning
deep clustering
Online Access:https://www.mdpi.com/1999-5903/15/9/298

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