Process Mining Algorithm for Online Intrusion Detection System
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50423-5_2
Reference11 articles.
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3. Agarap, A.F.M.: 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. ACM (2018)
4. Al-Riyami, S., Coenen, F., Lisitsa, A.: A re-evaluation of intrusion detection accuracy: alternative evaluation strategy. In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, pp. 2195–2197 (2018)
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1. An AdamW-Based Deep Neural Network Using Feature Selection and Data Oversampling for Intrusion Detection;2023 8th International Conference on Data Science in Cyberspace (DSC);2023-08-18
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