Game-Theoretic Models for Cybersecurity

6^th November 2015, 14:00 E1 (EEE 2nd floor)
Prof Chris Kiekintveld
Computer Science Department
University of Texas at El Paso
USA

Abstract

Many decision-making problems in cybersecurity involve allocating limited resources to defend against skilled, motivated attackers. Recent research on security games has used computational game theory to address similar resource allocation problems in physical domains, such as infrastructure protection and environmental crime. I will describe models and algorithms we have developed that extend the ideas of security games into the domain of network security, and highlight some of the new challenges we have encountered. For example, I will discuss models that consider how we can be use deception tactics such as honeypots as part of a network defense strategy.


-----------------------------------------------------------------
Biography:
--------------
Christopher Kiekintveld is an assistant professor at the University of Texas at El Paso (UTEP). His research interests are in the area of intelligent systems, focusing on multi-agent systems and computational decision making. He received his Ph.D in 2008 from the University of Michigan for thesis work on strategic reasoning, including applications in designing a champion trading agent for the TAC SCM competition. He has worked on several deployed applications of game theory, including systems in use by the Federal Air Marshals Service and Transportation Security Administration. He has received several best paper awards, the David Rist Prize, and an NSF CAREER award.