An Incremental Learning Algorithm on Imbalanced Data for Network Intrusion Detection Systems
Author:
Affiliation:
1. Graduate School of Science and Technology, Kumamoto University, Japan and Faculty of Computer Science, Brawijaya University, Indonesia
2. Faculty of Advanced Science and Technology, Kumamoto University, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3556223.3556252
Reference29 articles.
1. Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic
2. Applying Hoeffding Adaptive Trees for Real-Time Cyber-Power Event and Intrusion Classification;Adhikari Uttam;IEEE Transactions on Smart Grid,2018
3. New ensemble methods for evolving data streams
4. A Novel Online Incremental Learning Intrusion Prevention System
5. An investigation of the hoeffding adaptive tree for the problem of network intrusion detection
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