Using Transformer Technique for Intrusion Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8296-7_13
Reference23 articles.
1. de Almeida Florencio, F., Moreno, E.D., Macedo, H.T., de Britto Salgueiro, R.J., do Nascimento, F.B., Santos, F.A.O.: Intrusion detection via MLP neural network using an Arduino embedded system. In: 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), pp. 190–195. IEEE (2018)
2. Lecture Notes in Computer Science;Q-V Dang,2019
3. Dang, Q.V.: Evaluating machine learning algorithms for intrusion detection systems using the dataset CIDDS-002. In: Proceedings of the 4th International Conference on Computer Science and Software Engineering, pp. 112–118 (2021)
4. Dang, Q.V.: Improving the performance of the intrusion detection systems by the machine learning explainability. Int. J. Web Inf. Syst. 17(5), 537–555 (2021)
5. Lecture Notes in Networks and Systems;Q-V Dang,2022
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