I am broadly interested in all aspects of network, systems, and software security. I particularly enjoy conducting empirical measurements of large-scale systems and using that knowledge to guide the research and development of next-generation security technologies.
My current research focuses on applications of Machine Learning for Network Defense (especially SDN, Cloud, and Container Network Security), Anonymity and Circumvention Systems, Network Protocol Analysis, IoT Security, and Data Provenance Tracking for detection of APTs.