A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-023-09943-8.pdf
Reference138 articles.
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3. Agarap AFM (2018) A neural network architecture combining gated recurrent unit (GRU) and support vector machine (SVM) for intrusion detection in network traffic data. In: Proceedings of the 2018 10th international conference on machine learning and computing, pp 26–30
4. Aggarwal P, Sharma SK (2015) Analysis of KDD dataset attributes-class wise for intrusion detection. Procedia Comput Sci 57:842–851
5. Agrawal S, Agrawal J (2015) Survey on anomaly detection using data mining techniques. Procedia Comput Sci 60:708–713
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