Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems
It is crucial to implement innovative artificial intelligence (AI)-powered network intrusion detection systems (NIDSes) to protect enterprise networks from cyberattacks, which have recently become more diverse and sophisticated. High-quality labeled training datasets are required to train AI-powered...
Main Authors: | Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9777676/ |
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