Adaptive Ensemble Learning with Concept Drift Detection for Intrusion Detection
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-0171-2_31
Reference19 articles.
1. A. Zainal, M.A. Maarof, S.M. Shamsuddin, Ensemble classifiers for network intrusion detection system. J. Inf. Assurance Secur. 4, 217–225 (2009)
2. H. He, S. Chen, K. Li, X. Xu, Incremental learning from stream data. IEEE Trans. Neural Networks 22(12), 1901–1914 (2011)
3. H. Rajadurai, U. Gandhi, A stacked ensemble learning model for intrusion detection in wireless network. Neural Comput. Appl. (2020). https://doi.org/10.1007/s00521-020-04986-5.E
4. A.A. Aburomman, M. Bin IbneReaz, A survey of intrusion detection systems based on ensemble and hybrid classifiers. Comput. Secur. 65, 135–152 (2017). https://doi.org/10.1016/j.cose.2016.11.004
5. A. Rasoulifard, A.G. Bafghi, M. Kahani, Incremental Hybrid Intrusion Detection Using Ensemble of Weak Classifiers (Springer Berlin Heidelberg, 2008)
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