Citations refer to the original publication, not to a Scieee localized version.
Estepa Alonso, R. M., Díaz Verdejo, J., Estepa Alonso, A. J., & Madinabeitia Luque, G. (2020). How much training data is enough?. A case study for HTTP anomaly-based intrusion detection. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ACCESS.2020.2977591
Estepa Alonso, Rafael María, et al. How much training data is enough?. A case study for HTTP anomaly-based intrusion detection. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/ACCESS.2020.2977591.
Estepa Alonso, Rafael María, Jesús Díaz Verdejo, Antonio José Estepa Alonso, and Germán Madinabeitia Luque. How much training data is enough?. A case study for HTTP anomaly-based intrusion detection. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/ACCESS.2020.2977591.
Estepa Alonso, R. M. et al. (2020) How much training data is enough?. A case study for HTTP anomaly-based intrusion detection. Institute of Electrical and Electronics Engineers. Available at: https://doi.org/10.1109/ACCESS.2020.2977591.
R. M. Estepa Alonso, J. Díaz Verdejo, A. J. Estepa Alonso, and G. Madinabeitia Luque, “How much training data is enough?. A case study for HTTP anomaly-based intrusion detection,” Institute of Electrical and Electronics Engineers, 2020, doi: 10.1109/ACCESS.2020.2977591.
@misc{estepaalonso2020much,
author = {Estepa Alonso, Rafael María and Díaz Verdejo, Jesús and Estepa Alonso, Antonio José and Madinabeitia Luque, Germán},
title = {How much training data is enough?. A case study for HTTP anomaly-based intrusion detection},
year = {2020},
publisher = {Institute of Electrical and Electronics Engineers},
doi = {10.1109/ACCESS.2020.2977591},
url = {https://doi.org/10.1109/ACCESS.2020.2977591}
}
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