Sponsored by KPMG
Develop a machine learning model to predict and identify malicious network traffic for IoT devices
With the increased proliferation of IoT devices into our lives, addressing the classification of network traffic between IoT devices has become increasingly important and relevant. Our sponsor KPMG wants to develop an innovative solution for this pressing issue that can in the future be used as a tool to certify IoT devices for organizational use. Our project uses machine learning techniques to classify IoT traffic, and creates an integrated dashboard where the model results are explained.
Once we have a goal, we set out to build our solution.
We first built a model from our data set, we then designed an early prototype of the dashboard for visualizing the result.