Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection

Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection

Abstract Network intrusion detection system (NIDS) can effectively sense network attacks, which is of great significance for maintaining the security of cyberspace. To meet the requirements of efficient and accurate network status monitoring, a NIDS model using Transformer-based fusion deep learning...

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Bibliographic Details
Main Authors: Zelin Xiang, Xuwei Li
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Network intrusion detection
Data enhancement
Auto-Encoder
Transformer module
BiLSTM
GAN-Cross
Online Access:https://doi.org/10.1186/s13638-023-02279-8

Internet

https://doi.org/10.1186/s13638-023-02279-8

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