Feature Extraction and Anomaly Detection Using Different Autoencoders for Modeling Intrusion Detection Systems
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-08951-5.pdf
Reference34 articles.
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4. Buczak, A.L.; Guven, E.: A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Commun. Surv. Tutor. 18(2), 1153–1176 (2015)
5. Elmasry, W.; Akbulut, A.; Zaim, A.H.: Evolving deep learning architectures for network intrusion detection using a double pso metaheuristic. Comput. Netw. 168, 107042 (2020)
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