A Comparative Analysis of Single and Multi-View Deep Learning for Cybersecurity Anomaly Detection
This paper investigates the application of Deep Multi-View Learning (DMVL) to enhance the responsiveness of intrusion detection systems (IDS) in modern network environments, addressing the limitations of traditional IDS. The study used diverse datasets, including TON_IoT and UNSW-NB15, to evaluate a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10975758/ |
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