Modern networks face frequent disruptions from DDoS attacks. In a 2025 study, researchers Abiramasundari and Ramaswamy used supervised models with PCA for feature reduction to differentiate normal and malicious traffic. For example, Random Forest achieved nearly 99% accuracy, offering a solid basis for enhancing digital security in today’s connected world.
Q&A
- What is PCA in this context?
- How are supervised models validated?
- Why is addressing class imbalance important?
