Detecting Unbalanced Network Traffic Intrusions With Deep Learning
The growth of cyber threats demands a robust and adaptive intrusion detection system (IDS) capable of effectively recognizing malicious activities from network traffic. However, the existing imbalance of class in network data possesses a significant challenge to traditional IDS. To overcome these ch...
Κύριοι συγγραφείς: | , |
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Μορφή: | Άρθρο |
Γλώσσα: | English |
Έκδοση: |
IEEE
2024-01-01
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Σειρά: | IEEE Access |
Θέματα: | |
Διαθέσιμο Online: | https://ieeexplore.ieee.org/document/10538232/ |