Tutorial: Dynamic Measurement: Verifying Operating System Integrity at Runtime (Half-day Tutorial) CANCELLED
Leader: Julian Grizzard
 
Society is continually increasing their trust in our Cyber infrastructure to not only manage our data but also protect it. At the same time, our computing systems are becoming more complex, more prone to errors, and more prone to attacks. Dynamic measurement is a relatively new methodology that can help mitigate this mismatch between society¹s trust and the potential for attacks.

Dynamic measurement provides increased assurance in platforms by inspecting the current state of running processes to determine if the system is behaving as expected. This tutorial focuses on familiarizing the audience with dynamic measurement and providing concrete examples. We will provide background, present current research, and look ahead to some of the significant challenges in dynamic measurement. As part of our tutorial we will lead ³hands on² activities with the Linux Kernel Integrity Measurer (LKIM), which will be released as open source and freely available for researchers. Our goal is to provide the audience with a better understanding of dynamic measurement and to spark the interest of other researchers, thereby building a community of people interested in solving the critical challenges in dynamic measurement.

Julian Grizzard (julian.grizzard@jhuapl.edu) is currently a researcher in the Applied Information Sciences Department of The Johns Hopkins University Applied Physics Laboratory. He received his B.S. degree in Electrical and Computer Engineering from Clemson University in May 2002. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the Georgia Institute of Technology in 2004 and 2006 respectively.