Employing Feature Selection to Improve the Performance of Intrusion Detection Systems

Published in The 14th International Symposium on Foundations \& Practice of Security, 2021

Recommended citation: Avila, Ricardo and Khoury, Raphaƫl and Pere, Christophe and Khanmohammadi, Kobra (2021). "Employing Feature Selection to Improve the Performance of Intrusion Detection Systems." The 14th International Symposium on Foundations \& Practice of Security. https://www.fps-2021.com/cfp/fps-2021-accepted-papers/

This paper shows the importance of feature selection to improve the precision of classification models and the inference time in a context of cybersecurity data. [Download paper here](https://www.fps-2021.com/cfp/fps-2021-accepted-papers/) Recommended citation: Avila, R., Khoury, R., Pere, C. & Khanmohammadi, K. (2021). Employing Feature Selection to Improve the Performance of Intrusion Detection Systems. The 14th International Symposium on Foundations \& Practice of Security.