Deep Feature Fusion via Transfer Learning for Multi-Class Network Intrusion Detection

Deep Feature Fusion via Transfer Learning for Multi-Class Network Intrusion Detection

With the rapid advancement of network technologies, cyberthreats have become increasingly sophisticated, posing significant challenges to traditional intrusion detection systems. Conventional machine learning and deep learning approaches frequently experience performance degradation when confronted...

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Bibliographic Details
Main Authors: Sunghyuk Lee, Donghwan Roh, Jaehak Yu, Daesung Moon, Jonghyuk Lee, Ji-Hoon Bae
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
network intrusion detection
transfer learning
deep learning
feature fusion
Online Access:https://www.mdpi.com/2076-3417/15/9/4851
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