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Enhancing Firewall Packet Classification through Artificial Neural Networks and Synthetic Minority Over-Sampling Technique: An Innovative Approach with Evaluative Comparison

Firewall packet classification is a critical component of network security, demanding precise and reliable methods to ensure optimal functionality. This study introduces an advanced approach that combines Artificial Neural Networks (ANNs) with various data balancing techniques, including the Synthet...

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Wedi'i Gadw mewn:
Prif Awduron: Adem Korkmaz, Selma Bulut, Tarık Talan, Selahattin Kosunalp, Teodor Iliev
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI AG 2024-08-01
Cyfres:Applied Sciences
Pynciau:
firewall packet classification
artificial neural networks
SMOTE
network security
imbalanced data
Mynediad Ar-lein:https://www.mdpi.com/2076-3417/14/16/7426
Tagiau: Ychwanegu Tag
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