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)

Text (Full Text) NDDoS – TCP SYN flooding detection using SVM.pdf - Submitted Version Download (2MB)

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.

Actions (login required)

View Item