The Hierarchical Ensemble Model for Network Intrusion Detection in the Real-world Dataset
Journal
Proceedings - IEEE International Symposium on Circuits and Systems
Journal Volume
2022-May
ISBN
9781665484855
Date Issued
2022-01-01
Author(s)
Abstract
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.
Type
conference paper