Detecting DDoS attack on a network

Jack Davies


Supervised by Amir Javed; Moderated by George Theodorakopoulos

Using Cyber range to simulate DoS attack on a network – Within the project student will work on already collected dataset. They will then pre-process the data and build supervise/unsupervised machine learning model to detect an ongoing attacks. Aim: 1. Create a dataset using different topologies on the cyber range. 2. Create ML model to detect attacks Desirable goals : create a dashboard to show your results.

Final Report (21/09/2022) [Zip Archive]

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