Student project / 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.

Overview

Build with understanding.

This project can be scoped around a clear problem statement, a documented solution, and an academic-ready delivery plan.

PythonMachine LearningRandom ForestBayesian OptimizationSHAPSDNJupyter
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