An Efficient Network Intrusion Detection and Classification System
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References listed on IDEAS
- Yali Yuan & Liuwei Huo & Yachao Yuan & Zhixiao Wang, 2019. "Semi-supervised tri-Adaboost algorithm for network intrusion detection," International Journal of Distributed Sensor Networks, , vol. 15(6), pages 15501477198, June.
- Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
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Cited by:
- Dusmurod Kilichev & Wooseong Kim, 2023. "Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO," Mathematics, MDPI, vol. 11(17), pages 1-31, August.
- Rashid Ali & Hyung Seok Kim, 2022. "Applied Mathematics for 5th Generation (5G) and beyond Communication Systems," Mathematics, MDPI, vol. 10(16), pages 1-2, August.
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Keywords
AdaBoost; network intrusion; decision tree; SVM; MLP; UNSW-NB15;All these keywords.
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