Evaluation of the Latency of Machine Learning Random Access DDoS Detection in Open RAN
Paulo Ricardo Branco da Silva, João P. S. H. Lima, Erika Costa Alves, William Sanchez Farfan, Victor Aguiar Coutinho, Thomas William do Prado Paiva, Daniel Lazkani Feferman, Francisco Hugo Costa Neto · 2024
A testbed with open-source tools and commercial equipment is designed to investigate the timing of ML-based xApp operations in DDoS attack detection during the Random Access procedure. Results show high-precision and high-recall ML classifiers operating faster than the Medium Access Control (MAC) layer's Contention Resolution timer. For classifiers with over 97% precision and recall, XGBoost has the fastest execution time and the narrowest estimated run time probability density function.