A Suricata and Machine Learning Based Hybrid Network Intrusion Detection System
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-91738-8_43
Reference16 articles.
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2. Maleh, Y., Ezzati, A., Qasmaoui, Y., Mbida, M.: A global hybrid intrusion detection system for wireless sensor networks. Procedia Comput. Sci. 52, 1047–1052 (2015)
3. ElSayed, M.S., Le-Khac, N.A., Albahar, M.A., Jurcut, A.: A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique. J. Netw. Comput. Appl. 191, 103160 (2021)
4. Maleh, Y., Sahid, A., Belaissaoui, M.: Optimized machine learning techniques for IoT 6LoWPAN cyber attacks detection. In: Ajith, A., et al. (eds.) Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020), pp. 669–677. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-73689-7_64
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