FSAFA-stacking2: An Effective Ensemble Learning Model for Intrusion Detection with Firefly Algorithm Based Feature Selection-Reference-Cited by-同舟云学术

FSAFA-stacking2: An Effective Ensemble Learning Model for Intrusion Detection with Firefly Algorithm Based Feature Selection

Published:2022 Issue: Volume: Page:555-570
ISSN:0302-9743
Container-title:Algorithms and Architectures for Parallel Processing
language:
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Author:

Chen Guo,Zheng Junyao,Yang Shijun,Zhou Jieying,Wu Weigang

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-95388-1_37

Reference25 articles.

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3. Demir, N., DALKILIÇ, G.: Modified stacking ensemble approach to detect network intrusion. Turkish J. Electr. Eng. Comput. Sci. 26(1), 418–433 (2018)

4. Didaci, L., Giacinto, G., Roli, F.: Ensemble learning for intrusion detection in computer networks. In: Workshop Machine Learning Methods Applications, Siena, Italy (2002)

5. El Farissi, I., Saber, M., Chadli, S., Emharraf, M., Belkasmi, M.G.: The analysis performance of an intrusion detection systems based on neural network. In: 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), pp. 145–151. IEEE (2016)

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