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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Adem Korkmaz, Selma Bulut, Tarık Talan, Selahattin Kosunalp, Teodor Iliev
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-08-01
Schriftenreihe:Applied Sciences
Schlagworte:
firewall packet classification
artificial neural networks
SMOTE
network security
imbalanced data
Online-Zugang:https://www.mdpi.com/2076-3417/14/16/7426
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