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
Main Authors: Hassan Alizadeh, Harald Vranken, Andre Zuquete, Ali Miri
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9086466/