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ME-EM Graduate Seminar Speaker Series
Dr. Humberto Garcia
Pennsylvania State University
Abstract: ENGINEERING systems need to be reliably monitored and controlled in order to ensure required safety and performance objectives. To this end, sensors and actuators are typically deployed within the supervised system in order to observe and control the behavior of key process variables and access system conditions. The resulting plant under observation is a cyber-physical system (CPS) that exhibits vulnerabilities to disturbances not only at the physical layer but also at the cyber one. While natural disturbances can often be characterized reasonably well, malicious attacks are ill-characterized, often requiring probabilistic information and reasoning, and time-varying strategies. A significant attack type to design against is hybrid cyber-physical attacks. In a hybrid attack, an attacker may cause a physical damage to the supervised facility and, furthermore, coordinately compromise its cyber infrastructure via a cyberattack so as to confuse the operator concerning the actual health conditions of the supervised plant. As intended by the attacker, a potential result may be that the operator, due to this confusion, takes a wrong decision, such as shutting down the supervised process or switching the plant to an inappropriate operating mode, while he/she otherwise could have gracefully maintained operations amid in a degraded mode, for example. This seminar will discuss several architecture and supporting methods for the implementation of a resilient condition monitoring and control system that can adaptively address hybrid (e.g., cyber plus physical) attacks directed against CPS. Resilient features of the developed resilient system are then demonstrated on a simplified power plant model, where the supervised plant is subjected to diverse cyber and physical attack scenarios.
Bio: Dr. Garcia has a Ph.D. from Pennsylvania State U. in Electrical & Computer engineering, with a minor in Mechanical engineering. He is currently at Idaho National Laboratory as a lead in Dynamic Systems Integration, Optimization, and Resilient Controls, having been previously with Argonne National Laboratory. His technical interests include: systems integration; systems theories and applications; predictive systems modeling, simulation (M&S), control, optimization; predictive data analytics; cyber-physical security and resiliency; smart components/systems; embedded computational intelligence; energy systems management; energy generation/conversion; mission-driven resiliency, survivability, mitigation, recovery; intelligent health and performance monitoring, diagnostic, prognostic; sensor and interdiction networks; decentralized systems; nuclear non- and counter-proliferation; operations optimization and supervision; continuous improvement methods; V&V, Hardware-in-the-Loop (HiL), and engineering-scale demonstrations.
Invited by Lucia Gauchia
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