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DDoS Attack Detection with ML Techniques by Neethu S is a document available to read on EtoBox.

What is DDoS Attack Detection with ML Techniques about?

This document discusses using machine learning and statistical algorithms to predict and prevent DDoS attacks. It analyzes a dataset containing over 50 million records to identify the most relevant features for detecting attacks. Several machine learning models are tested, with XGBoost providing the best detection accuracy of 99.9999% after addressing imbalanced data. The goal is to improve detection of DDoS attacks and suggest ways to avoid them.

Author

Neethu S

Language

EN