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A Theory of Privacy for Cyberphysical Systems with Applications in Energy Systems


10/7/2015 at 4:00PM


10/7/2015 at 5:00PM


258 Fitzpatrick Hall


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Vijay Gupta

Vijay Gupta

VIEW FULL PROFILE Email: vgupta2@nd.edu
Phone: 574-631-2294
Website: http://ee.nd.edu/faculty/vgupta/
Office: 270 Fitzpatrick Hall


Department of Electrical Engineering Professor and Associate Chair of Graduate Studies
Research Interests: Dr. Gupta's current research interests are in the analysis and design of cyberphysical systems. Such systems are the next generation of engineering systems and involve tightly coupled control, communication, and processing algorithms. Applications include structural health ...
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As many cyberphysical systems start to rely on collecting user data for more efficient operation, privacy has emerged as a concern among participating users. In this talk, I will discuss two frameworks that formalize the notion of privacy (differential privacy and information-theoretic privacy) from a unified point of view based on detection theory. I will demonstrate the applications of the two frameworks in energy systems through two case studies. (i) Private distributed charging of electric vehicles: It has been shown that the (non-private) distributed charging problem can be solved using distributed gradient descent. However, the messages exchanged between the center mediator and users may be exploited to breach the privacy of users. We show that differential privacy can be preserved by introducing additive noise to the gradients. We also quantify the trade-off between the level of privacy and the loss of utility using tools from optimization theory. (ii) Private smart metering with internal energy storage: We propose a new information-theoretic metric of privacy in order to handle the privacy of events (e.g., energy usage within any given time slot). The new metric is used to analyze the privacy of a smart metering system that uses internal energy storage as a buffer to hide distinctive energy usage patterns. The results quantify how the amount of energy storage helps improve the level of privacy.

Seminar Speaker:

Shuo Han

University of Pennsylvania

Shuo Han is a postdoctoral researcher in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He received his B.E. and M.E. in Electronic Engineering from Tsinghua University in 2003 and 2006, and his Ph.D. in Electrical Engineering from the California Institute of Technology in 2013. His current research focuses on developing rigorous frameworks for data-driven decision making that enable reliable and efficient operations of networked cyber-physical systems, including many smart city applications such as power and transportation networks. He was a finalist for the Best Student Paper Award at the 2013 American Control Conference.