Machine Learning Techniques Applied to Cybersecurity

Apply relevant machine learning techniques to problems across various areas within the cyber security domain that include malware analysis, memory forensics, network traffic analysis, and vulnerability research. Use multiple approaches to transform cyber security data (and metadata) into a mathematical representation (i.e., vector) suitable for ingesting by Machine Learning algorithms.. Develop methods to select, implement, and modify appropriate algorithms that are suitable for the cyber security application of interest.. Research and investigate late-breaking methods in ML and their application to cyber. Ideally, each student will develop the beginnings of their unique expertise in a subtopic of their choosing for ML-cyber applications. Understand cyber resilience, and how to survive or outwit a threat.