Guest Speaker: Greg Shannon
480 Dreese Labs
2015 Neil Avenue, Columbus, Ohio 43210
The Federal Cybersecurity Research and Development Strategic Plan, released by the White House two years ago this month, states that “The fundamental research challenge is to make cybersecurity less onerous while providing more-effective defenses.” And, that the long-term R&D goal is the “effective and efficient deterrence of malicious cyber activities via denial of results and likely attribution.” The current state of the practice in cybersecurity focuses on better informing the defender in order to thwart adversaries, and we explore the practical challenges of using unsupervised learning to detect malicious cyber activities. However, a more efficient approach is to deter adversaries by having then experience infrastructure that is frustratingly hard to exploit and hard to create significant cyber effects therein. We present a framework for developing efficient cybersecurity that will thwart and deter adversaries.
Bio: Dr. Greg Shannon is the Chief Scientist for the CERT® Division at Carnegie Mellon University's Software Engineering Institute and a member of the U.S. Air Force Scientific Advisory Board. His current research focuses on scalable formal methods to improve defensive cyber-deterrence mechanisms that thwart capable cyber adversaries. He recently served in the White House Office of Science & Technology Policy as the Assistant Director for Cybersecurity Strategy and in the Department of Homeland Security Science and Technology Division as a Senior Policy Advisor. He is active in the IEEE, now serving as the Vice-Chair of the IEEE Internet Initiative. He has testified before Congress on cybersecurity, science for security, critical infrastructure, resilience, and cyber threats. Shannon received a B.S. in Computer Science from Iowa State University with minors in Mathematics, Economics, and Statistics. He earned his M.S. and Ph.D. in Computer Sciences from Purdue University, with a fellowship from the Packard Foundation. He is a member of ACM and a Senior Member of IEEE.
Host: Xiaodong Zhang