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Few-shot learning-based network intrusion detection through an enhanced parallelized triplet network
Network intrusion detection is one of the critical techniques to enhance cybersecurity. Several few-shot learning-based methods have recently been proposed to alleviate the dependence on large training samples in many supervised learning methods. However, it is still a challenge to achieve real-time...
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| Main Authors: | , , , , , , |
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| Format: | Default Article |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/21781058.v1 |
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