Using machine learning to classify devices on your network

In this article, we plan to walk readers through using our machine learning code to classify devices on a network. We have touched on this in previous blog posts about the Poseidon Software Defined Networking (SDN) project and how it relates to detecting lateral movement, as well as using machine learning (ML) to analyze network data. With that in mind, we've experimented with classifying devices using packet-capture data. We've made a few tools available to make it easier to try on your own network as well. The models that we'll be using run in combination with the Poseidon SDN project, and if you'd like to try that yourself, you can read about how to build your own Software-Defined Network with Raspberry Pis and a Zodiac FX switch or watch the video.