TITLE: Attack detection and identification in cyber-physical systems SPEAKER: Francesco Bullo http://motion.me.ucsb.edu JOINT WORK WITH: Fabio Pasqualetti and Florian Dorfler ABSTRACT: Cyber-physical systems integrate computation, communication, and physical capabilities. We propose a unified framework to analyze the resilience of cyber-physical systems against attacks cast by an omniscient adversary. We model cyber-physical systems as linear descriptor systems, and attacks as exogenous unknown inputs. Despite its simplicity, our model captures various real-world cyber-physical systems and it includes and generalizes the most studied prototypical attacks, including stealth, false-data injection and replay attacks. For this model, we study various attack detection and identification procedures, and we characterize their fundamental limitations. We provide constructive algebraic conditions to cast undetectable and unidentifiable attacks, and graph-theoretic conditions for the existence of undetectable and unidentifiable attacks. Following our analysis, we propose centralized and decentralized monitors for attack detection and identification. Finally, we present several illustrative examples that illustrate our findings, and show the effectiveness of our methods also in the presence of system noise, nonlinearities, and modeling uncertainties. BIOSKETCH: Francesco Bullo received the Laurea degree in Electrical Engineering from the University of Padova in 1994, and the Ph.D. degree in Control and Dynamical Systems from the California Institute of Technology in 1999. From 1998 to 2004, he was affiliated with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. He is currently a Professor with the Mechanical Engineering Department at the University of California, Santa Barbara. His students' papers were finalists for the Best Student Paper Award at the IEEE Conference on Decision and Control (2002, 2005, 2007), and the American Control Conference (2005, 2006, 2010). He is the coauthor of the book "Geometric Control of Mechanical Systems" (Springer, 2004) and of the book "Distributed Control of Robotic Networks" (Princeton, 2009). His main research interest is multi-agent networks with application to robotic coordination, distributed computing and power networks.