ADFCNN-BiLSTM: A Deep Neural Network Based on Attention and Deformable Convolution for Network Intrusion Detection

ADFCNN-BiLSTM: A Deep Neural Network Based on Attention and Deformable Convolution for Network Intrusion Detection

Network intrusion detection systems can identify intrusion behavior in a network by analyzing network traffic data. It is challenging to detect a very small proportion of intrusion data from massive network traffic and identify the attack class in intrusion detection tasks. Many existing intrusion d...

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Bibliographic Details
Main Authors: Bin Li, Jie Li, Mingyu Jia
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
network intrusion detection
bidirectional long short-term memory
deformable convolution
attention mechanism
Online Access:https://www.mdpi.com/1424-8220/25/5/1382
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