NDDoS – TCP SYN flooding detection using SVM

Mohd Nasir, Azwar Hafuza (2021) NDDoS – TCP SYN flooding detection using SVM. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Leading to Industrial Revolution (IR) 4.0, most of the services are depending on the technology. This changes also will lead to a war named cyber war. The most popular weapon that was used during cyber-attack is Denial of Service (DoS) or Distributed Denial of Service (DDoS). In order to control this problem, a good detection system must be implements in the network architecture. The purpose of doing this project is to propose a DoS TCP SYN flooding detection using machine learning algorithm specifically Support Vector Machine (SVM). In this study, a dataset that was used is gain from Canadian Institute for Cybersecurity named NSL-KDD dataset. In conclusion, hope this project will achieve its goals and can be used for all people as precaution step for securing its network.

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