HIGHLIGHTS
- who: Azamat Imanbayev et al. from the Faculty of Information Technology, Al-Farabi Kazakh National University, have published the paper: Research of Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networksand Beyond, in the Journal: Sensors 2022, 22, 9957. of /2022/
- what: The researchers in this study focused on improving the performance of DNN-based IDS by providing a unique feature selection method that combines statistical significance using standard deviation and the difference of mean and median. This study provides a focused assessment of datasets for networkbased intrusion detection, as . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.