Machine Learning Models for DDoS Detection in Software-Defined Networking: A Comparative Analysis

Today's article comes from the Journal of Information Systems and Informatics. The authors are Ferdiansyah et al., from Indo Global Mandiri University, in Indonesia. In this paper, the authors train ML models that can detect DDoS attacks while they're occurring. They train three different versions (using Random Forest, Naive Bayes, and LinearSVC) and benchmark them against each other to see which approach is most effective.

DOI: 10.51519/journalisi.v6i3.864