Analysis and Implementation of Machine Learning Approaches to DDoS Attack Detection
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The student will perform a background study on how DDoS attacks work, and will work with a real world dataset to perform data analysis and develop a detection technique.
The CICDDoS2019 dataset was used in the research. 3 detection techniques were trained and tested using Decision Tree, Random Forest, and SVM (Linear kernel) models. Their effectiveness was evaluated and compared.
My mentor helped me find a good dataset and guided me with structuring my paper and approaching machine learning model programming.