Risk Quantification and Analysis of Malicious IoT Network Traffic

Abinash N Ramesh


Supervised by Amir Javed; Moderated by Theodoros Spyridopoulos

Stage 1 Identify a a publicly available dataset that has a variety of IoT attacks. Stage 2 Preprocess the dataset, then based on the attack you will calculate risk for each attack. Annotate the dataset based on the risk score. Propose a risk quantification formula. Stage 3 Use ML/Statistical model to predict risk. Stage 4 (desireable) create a dashboard to demonstrate the working of your project. Demonstrate continuous risk.

Initial Plan (06/02/2023) [Zip Archive]

Final Report (12/05/2023) [Zip Archive]

Publication Form