Comparative Analysis of Multiclass Classification Machine Learning Models for Cybersecurity Intrusion Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68653-5_10
Reference27 articles.
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2. Fenanir, S., Semchedine, F., Baadache, A.: A machine learning-based lightweight intrusion detection system for the internet of things. Revue d’Intelligence Artificielle 33(3), 203–211 (2019). https://doi.org/10.18280/ria.330306
3. Kilincer, I.F., Ertam, F., Sengur, A.: Machine learning methods for cyber security intrusion detection: datasets and comparative study. Comput. Netw. 188 (2021). https://doi.org/10.1016/j.comnet.2021.107840
4. Sharafaldin, I., Lashkari, A.H., Ghorbani, A.A.: Toward generating a new intrusion detection dataset and intrusion traffic characterization. In: ICISSP 2018 - Proceedings of the 4th International Conference on Information Systems Security and Privacy, SciTePress, pp. 108–116 (2018). https://doi.org/10.5220/0006639801080116
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