Events

Visiting lectures

April 10, 2019

Information-Theoretic Security in the Smart Grid

In the first part of this talk deterministic and random data injection attacks in the smart grid are studied using tools from information theory and optimization. In particular, two types of deterministic attacks are analyzed: (a) those that maximize the distortion on the state variables subject to an upper-bound on the attack detection probability; and (b) those that minimize the attack detection probability subject to a lower-bound on the distortion on the state variables. On the other hand, Gaussian random attacks are studied considering that in order to minimize the information acquired by the operator the mutual information between the observations and the state variables describing the grid must be minimized. An interesting trade-off between attack detection probability and mutual information is highlighted. Finally, a sufficient condition for achieving an arbitrarily small probability of attack detection is presented. The attack performance is numerically assessed on the IEEE 30-Bus and 118-Bus test systems.

Simultaneous Information and Energy Transmission

In the second part of the talk, a non-asymptotic analysis of the fundamental limits of simultaneous information and energy transmission (SIET) is presented. The notion of the information-energy capacity region, i.e., the largest set of simultaneously achievable information and energy rates, is revisited in a context in which transmissions occur within a finite number of channel uses and strictly positive decoding error probability (DEP) and energy shortage probability (ESP) are tolerated. The focus is on the case of one transmitter, one information receiver and one energy harvester communicating through binary symmetric memoryless channels. These results reveal the competitive interaction between the information transmission and energy transmission tasks identifying a certain regime in which increasing the information rate necessarily implies decreasing the energy rate and vice versa.

Presenter: Samir Perlaza is an INRIA chargé de recherche and a visiting research scholar at the Department of Electrical Engineering of Princeton University, Princeton, (NJ, USA). He received the M.Sc. and Ph.D. degrees from École Nationale Supérieure des Télécommunications (Telecom ParisTech), Paris, France, in 2008 and 2011, respectively. Previously, from 2008 to 2011, he was a Research Engineer at France Télécom - Orange Labs (Paris, France). He has held long-term academic appointments at the Alcatel-Lucent Chair in Flexible Radio at Supélec (Gif-sur-Yvette, France); at Princeton University (Princeton, NJ) and at the University of Houston (Houston, TX). He currently serves as an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS. He has been awarded with an Alban Fellowship in 2006 and a Marie SkłodowskaCurie Fellowship in 2015, both by the European Commission. His research interests lie in the overlap of signal processing, information theory, game theory, cyber-physical systems and wireless communications.

  • Place: LUT University, room 3421
  • April 10th: 14:00 -- 15:30
  • Information: Assist. Prof. Pedro Nardelli, LUT University

The visit was financially supported by the Institut Francais de Finlande, the Embassy of France in Finland, the French Ministry of Education, Higher Education and Research, the Finnish Academy for Science and Letters and the Finnish Society of Science and Letters via MAUPERTUIS PROGRAM.

Post-graduate courses

Neuroscience-based methods for electrical engineering and applications in IoT-based systems

4.-7.12.2018, LUT University (details in the link above)

Lectures and workshop

Distance learning for Finnish universities is possible

Lecturer: Assist. Prof. Renan Moioli, Edmond and Lily Safra International Institute of Neuroscience, Brazil

Organizer: Assist. Prof. Pedro Nardelli, LUT University