Network Intrusion Detection Based on Feature Image and Deformable Vision Transformer Classification

Network Intrusion Detection Based on Feature Image and Deformable Vision Transformer Classification

Network intrusion detection technology has always been an indispensable protection mechanism for industrial network security. The rise of new forms of network attacks has resulted in a heightened demand for these technologies. Nevertheless, the current models’ effectiveness is subpar. We...

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Bibliographic Details
Main Authors: Kan He, Wei Zhang, Xuejun Zong, Lian Lian
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
deformable vision transformer
deformable convolution
deformable attention mechanism
vision transformer
Online Access:https://ieeexplore.ieee.org/document/10468586/

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