Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions

Explainable AI for Lightweight Network Traffic Classification Using Depthwise Separable Convolutions

With the rapid growth of internet usage and the increasing number of connected devices, there is a critical need for advanced Network Traffic Classification (NTC) solutions to ensure optimal performance and robust security. Traditional NTC methods, such as port-based analysis and deep packet inspect...

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Bibliographic Details
Main Authors: Mustafa Ghaleb, Mosab Hamdan, Abdulaziz Y. Barnawi, Muhammad Gambo, Abubakar Danasabe, Saheed Bello, Aliyu Habib
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Deep learning
depthwise separable convolution
eXplainable artificial intelligence
LIME
network traffic classification
SHAP
Online Access:https://ieeexplore.ieee.org/document/11023864/
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