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Privacy and Security in Smart Energy Grids (Dagstuhl Seminar 16032)

Authors: George Danezis, Stefan Katzenbeisser, Christiane Peters, and Bart Preneel

Published in: Dagstuhl Reports, Volume 6, Issue 1 (2016)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 16032 "Privacy and Security in Smart Energy Grids". Smart electricity grids augment the electricity distribution network with modern communications and computerized control to improve efficiency, reliability, and security of electricity distribution, and more flexible production. This initiative has been greeted by consumers and utilities not only with enthusiasm but also concern. Consumers worry about their privacy. Utilities worry about the security of their assets. These outcries and reactions have triggered academics and industry to look into designing privacy friendly architectures for smart metering. The Dagstuhl Seminar 16032 brought together academic researchers as well as utility experts in order to start an open dialogue on smart grid privacy and security problems and potential solutions to support customers and utilities. A particular focus of the seminar were problems related to two timely use-cases for the smart grid, namely smart charging of electric vehicles and distribution automation.

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George Danezis, Stefan Katzenbeisser, Christiane Peters, and Bart Preneel. Privacy and Security in Smart Energy Grids (Dagstuhl Seminar 16032). In Dagstuhl Reports, Volume 6, Issue 1, pp. 99-107, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{danezis_et_al:DagRep.6.1.99,
  author =	{Danezis, George and Katzenbeisser, Stefan and Peters, Christiane and Preneel, Bart},
  title =	{{Privacy and Security in Smart Energy Grids (Dagstuhl Seminar 16032)}},
  pages =	{99--107},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{6},
  number =	{1},
  editor =	{Danezis, George and Katzenbeisser, Stefan and Peters, Christiane and Preneel, Bart},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.1.99},
  URN =		{urn:nbn:de:0030-drops-58160},
  doi =		{10.4230/DagRep.6.1.99},
  annote =	{Keywords: Critical infrastructure protection, smart energy grids}
}

Document

DOI: 10.4230/DagSemProc.05411.3

Improving the Decoding Efficiency of Private Search

Authors: George Danezis and Claudia Diaz

Published in: Dagstuhl Seminar Proceedings, Volume 5411, Anonymous Communication and its Applications (2006)

Abstract

We show two ways of recovering all matching documents, in the Ostrovsky et al. Private Search, while requiring considerably shorter buffers. Both schemes rely on the fact that documents colliding in a buffer position provide the sum of their plaintexts. Efficient decoding algorithms can make use of this property to recover documents never present alone in a buffer position.

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George Danezis and Claudia Diaz. Improving the Decoding Efficiency of Private Search. In Anonymous Communication and its Applications. Dagstuhl Seminar Proceedings, Volume 5411, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{danezis_et_al:DagSemProc.05411.3,
  author =	{Danezis, George and Diaz, Claudia},
  title =	{{Improving the Decoding Efficiency of Private Search}},
  booktitle =	{Anonymous Communication and its Applications},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5411},
  editor =	{Shlomi Dolev and Rafail Ostrovsky and Andreas Pfitzmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05411.3},
  URN =		{urn:nbn:de:0030-drops-4829},
  doi =		{10.4230/DagSemProc.05411.3},
  annote =	{Keywords: Private search, private information retrieval, cryptography}
}

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Documents authored by Danezis, George

Privacy and Security in Smart Energy Grids (Dagstuhl Seminar 16032)

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Improving the Decoding Efficiency of Private Search

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