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What is Machine Learning DDoS Detection System about?

This document presents a final year project report on the development of a machine learning-based Intrusion Detection System (IDS) aimed at detecting Distributed Denial of Service (DDoS) attacks. The system utilizes the Random Forest algorithm and the CICIDS 2017 dataset, achieving a performance accuracy of 98.5% in real-time detection and mitigation of DDoS threats. The project is submitted in partial fulfillment of the requirements for a Bachelor

Author

Dominion Uwaigiahano

Language

EN