Time: 3:30 PM - 5:30 PM
Location: 401/402 Walter Library
Abstract: Electric power system operators make critical decisions based on remote measurements. If those measurements are compromised, it is possible to make decisions that could lead to critical consequences. Of particular concern are unobservable attacks in which compromised measurements are not ﬂagged as erroneous by bad data detection algorithms. The use of secure measurement devices, such as PMUs, is one way to recognize such attacks.
We introduce sparse unobservable data integrity attacks to smart grid and present an algorithm for optimal placement of PMUs to detect them.
Biography: Annarita is part of the Energy and Infrastructure Analysis group in the Defense Systems and Analysis (DSA) Division at Los Alamos National Laboratory. Her interests are cyber security of critical infrastructure and energy systems in particular. She works on smart grid data integrity attack characterization, detection, countermeasures and risk assessment of malicious attacks to the power system.
Before starting at Los Alamos she was at the department of Electrical Engineering at UC Berkeley working on projects related to body sensor networks and critical infrastructure security. She has been the co-chair of several workshops on cyber security. She is a reviewer for international conferences, journal publications, and projects for both the US Department of Energy and the European Commission. She has a Master in mathematics from the University of Pisa, Italy and a Ph.D. from the Thayer School of Engineering at Dartmouth College in Hanover, NH, USA. Before starting her Ph.D she was a researcher Institute of Informatics and Telematics of the Italian Research Counsel in Pisa.
More information: https://www.dtc.umn.edu/seminars/events.php?eventdesc=744
To request disability accommodations, please contact Kelsi Klaers, Digital Technology Center, email@example.com, 612-624-0811.