Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model
To address the issue of low detection accuracy and high false positive rate in existing network intrusion detection methods, this paper proposes an intrusion detection model based on CNN-BiLSTM-Attention. Firstly, CNN is used to extract the spatial features from the intrusion data; Secondly, BiLSTM...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10489943/ |