ReliefF-RF model application in communication security risk detection of distribution network

Data publikacji: 25 lis 2023

Otrzymano: 08 sty 2023

Przyjęty: 05 cze 2023

DOI: https://doi.org/10.2478/amns.2023.2.01245

Słowa kluczowe

SDN technology, Random forest model, Communication, Data characteristics, Risk detection

© 2023 Jing Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.