Detecting Complex Intrusion Attempts Using Hybrid Machine Learning Techniques
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16075-2_10
Reference22 articles.
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3. Leevy, J.L., Khoshgoftaar, T.M.: A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data. Journal of Big Data 7(1), 1–19 (2020)
4. Kumar, A., Glisson, W., Benton, R.: Network attack detection using an unsupervised machine learning algorithm. In: Proceedings of the 53rd Hawaii International Conference on System Sciences (2020)
5. Thakkar, A., Lohiya, R.: A review of the advancement in intrusion detection datasets. Procedia Computer Science 167, 636–645 (2020)
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