Development of an Efficient Network Intrusion Detection Model Using Extreme Gradient Boosting (XGBoost) on the UNSW-NB15 Dataset

Anwar Husain, Ahmed Salem, Carol Jim, George Dimitoglou. Development of an Efficient Network Intrusion Detection Model Using Extreme Gradient Boosting (XGBoost) on the UNSW-NB15 Dataset. In IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019, Ajman, United Arab Emirates, December 10-12, 2019. pages 1-7, IEEE, 2019. [doi]

Abstract

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