Intrusion Detection System for Securing Computer Networks Using Machine Learning: A Literature Review
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6981-8_15
Reference17 articles.
1. Mirza, A.H.: Computer network intrusion detection using various classifiers and ensemble learning. In: 2018 26th Signal Processing and Communications Applications Conference (SIU), pp. 1–4 (2018)
2. Karatas, G.: Increasing the performance of machine learning-based IDSs on an imbalanced and up-to-date dataset. IEEE Access 8, 32150–32162 (2020)
3. Khan, R.U., Zhang, X., Alazab, M., Kumar, R.: An improved convolutional neural network model for intrusion detection in networks. In: 2019 Cybersecurity and Cyberforensics Conference (CCC), pp. 74–77 (2019)
4. Park, K.: Classification of attack types for intrusion detection systems using a machine learning algorithm. In: 2018 IEEE Fourth International Conference on Big Data Computing Service and Applications (BigDataService), pp. 282–286 (2018). https://doi.org/10.1109/BigDataService.2018.00050
5. Halimaa, A.A., Sundarakantham, K.: Machine learning based intrusion detection system. In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, pp. 916–920 (2019). https://doi.org/10.1109/ICOEI.2019.8862784
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