Enhancing network intrusion detection by lifelong active online learning
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11227-024-06070-4.pdf
Reference25 articles.
1. Veeramachaneni K et al (2016) AI2: Training a big data machine to defend. In: Proceedings of the 2016 IEEE 2nd International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, pp 49–54
2. Das S et al (2016) Incorporating expert feedback into active anomaly discovery. In: Proceedings of the 2016 IEEE 16th International Conference on Data Mining, pp 853–858
3. Sharma M et al (2016) Active learning with rationales for identifying operationally significant anomalies in aviation. In: Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp 209–225
4. Dang Q-V (2020) Active learning for intrusion detection systems. In: Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, pp 1–3
5. Chuang PJ, Wu KL (2021) Employing on-line training in SDN intrusion detection. J Inf Sci Eng 37(2):483–496
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