Timely Classification and Verification of Network Traffic Using Gaussian Mixture Models

We present a novel approach for timely classification and verification of network traffic using Gaussian Mixture Models (GMMs). We generate a separate GMM for each class of applications using component-wise expectation-maximization (CEM) to match the network traffic distribution generated by these a...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Hassan Alizadeh, Harald Vranken, Andre Zuquete, Ali Miri
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Gaussian mixture model (GMM) traffic classification traffic anomaly detection
Online Access:	https://ieeexplore.ieee.org/document/9086466/

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