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Springer Science and Business Media LLC
Reference37 articles.
1. Yee Jian, C., Shih Yin, O., Kok-Seng, W., and Ying Han, P.: Decision tree with sensitive pruning in network-based intrusion detection system. In: Computational Science and Technology, pp. 1–10. Springer (2020)
2. Tony, T., Athira, V. P., Sabu, E.: Machine learning approaches in cyber security analytics. Springer (2020)
3. Chandrashekhar, A., Ashok Kumar, M., Vijay Kumar, J.: Evolutionary decision tree-based intrusion detection system. In: Proceedings of the third international conference on microelectronics, computing and communication systems , pp. 271–282. Springer (2019)
4. Ilham, R., Parman, S., and Muhammad, A. N.: Comparative analysis of k-nearest neighbor and decision tree in detecting distributed denial of service. In: 2020 8th international conference on information and communication technology (ICoICT)
5. Ravi, V.; Mamoun, A.; Soman, K.P.; Prabaharan, P.; Al-Nemrat, A.; Sitalakshmi, V.: Deep learning approach for intelligent intrusion detection system. IEEE Access 7, 41525–41550 (2019)
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