Malware Detection from IoT Devices Using Machine Learning Algorithms

Bedoor Bahassan


Supervised by Amir Javed; Moderated by Dr Daniel J. Finnegan

This project, will look at the Network Traffic from IoT devices, pre-process the data, and implement Supervised Machine Learning models to Classify Malicious and Benign Network Traffic. After that, the evaluation process will take place to illustrate the results and to decide the best Machine Learning Algorithm.

Initial Plan (03/02/2020) [Zip Archive]

Final Report (05/06/2020) [Zip Archive]

Publication Form