Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model

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...

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Bibliographic Details
Main Authors: Wei Dai, Xinhui Li, Wenxin Ji, Sicheng He
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
CNN
BiLSTM
attention mechanism
EQL v2
class imbalance
Online Access:https://ieeexplore.ieee.org/document/10489943/

Internet

https://ieeexplore.ieee.org/document/10489943/

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