APPLYING TRANSFORMER ARCHITECTURE TO ENHANCE ATTACK DETECTION PERFORMANCE IN INTRUSION DETECTION SYSTEMS
Intrusion Detection Systems (IDS) are crucial in safeguarding network security against increasingly sophisticated threats. In this study, we propose a Transformer-based intrusion detection model to enhance attack recognition performance. The UNSW-NB15 dataset is utilized for model training and...
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| Format: | Article |
| Language: | English |
| Published: |
Trường Đại học Vinh
2025-06-01
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| Series: | Tạp chí Khoa học |
| Subjects: | |
| Online Access: | https://vujs.vn//api/view.aspx?cid=8e455cb8-7f8e-4de9-9768-3317bb651adc |
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