January 2020
An Implementation of DDoS detection and mitigation system using SVM Classifier.
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April 2021
A Simple E-Commerce Web build with Django
July 2022
Restoration of my old 2-stroke motorcycle, a 1980 Yamaha DT100
In this project, the detection and mitigation system of DDoS attacks was built to minimize DDoS attacks on SDN architecture using SVM Classifier.
SVM is applied to the machine learning model to classify normal traffic and DDoS attack traffic based on features taken from flow entries.
From the test results, the system has been able to detect DDoS attacks with an average accuracy of 96.83% and an average detection time of 67,80 ms.
