Selected work / Cybersecurity / Machine Learning
DDoS Detection in SDN
A machine-learning-based cybersecurity project focused on detecting Distributed Denial-of-Service attacks in Software Defined Networks using Random Forest, Bayesian optimization and SHAP-based explainability.
Project overview
Engineering with a clear purpose.
A machine-learning-based cybersecurity project focused on detecting Distributed Denial-of-Service attacks in Software Defined Networks using Random Forest, Bayesian optimization and SHAP-based explainability.
Combines machine learning with explainable AI for network security analysis.