Deep Session Learning for Cyber Security – Gab41

Recently, Lab41 teamed up with Cyber Reboot (a sister lab) to explore the intersection of deep learning (DL) and cyber security in a software defined network (SDN) environment. We called it Poseidon, based heavily on it being a cool word with the letters s, d, and n in order. The goal was to use predictions about network traffic to automatically update a network's posture. This entailed three main objectives: performing deep learning on packet data, setting up an SDN environment, and scheduling a microservice to connect the two (for more information and code visit our Github page). Since I belong to the cult of deep learning, I was tasked with the first objective.