https://scholars.lib.ntu.edu.tw/handle/123456789/628368
標題: | The Hierarchical Ensemble Model for Network Intrusion Detection in the Real-world Dataset | 作者: | Chen, Lei Weng, Shao En Peng, Chu Jun Li, Yin Chi Shuai, Hong Han WEN-HUANG CHENG |
公開日期: | 1-一月-2022 | 卷: | 2022-May | 來源出版物: | Proceedings - IEEE International Symposium on Circuits and Systems | 摘要: | Network intrusion detection is an indispensable defense in the critical era fulling of cyberattacks. However, it faces a severe class imbalanced issue, and most of the researches are conducted on simulated data. Therefore, this work introduces a hierarchical ensemble architecture with machine learning approaches. It is trained on the latest and real-world dataset to solve the above problems. The experiments show that we outperform state-of-the-art methods on real network traffic data. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/628368 | ISBN: | 9781665484855 | ISSN: | 02714310 | DOI: | 10.1109/ISCAS48785.2022.9937322 |
顯示於: | 資訊工程學系 |
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