Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection

Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection

In an era marked by the escalating architectural complexity of the Internet, network intrusion detection stands as a pivotal element in cybersecurity. This paper introduces Learn-IDS, an innovative framework crafted to bridge existing gaps between datasets and the training process within deep learni...

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Bibliographic Details
Main Authors: Minxiao Wang, Ning Yang, Yanhui Guo, Ning Weng
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
network intrusion detection
datasets engineering
deep learning
feature fusion
Online Access:https://www.mdpi.com/2079-9292/13/6/1072

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