Privacy preserving energy management

Holger Kinkelin, Marcel von Maltitz, Benedikt Peter, Cornelia Kappler, Heiko Niedermayer, Georg Carle

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The improvement of energy efficiency is an important target on all levels of society. It is best achieved on the basis of locally and temporally fine-grained measurement data for identifying unnecessary use of energy. However, at the same time such fine-grained measurements allow deriving information about the persons using the energy. In this paper we describe our work towards a privacy preserving system for energy management. Our solution follows the privacy by design paradigm and uses attribute-based cryptography and virtualization to increase security.

Original languageEnglish
Title of host publicationSocial Informatics - SocInfo 2014 International Workshops, Revised Selected Papers
EditorsDaniel McFarland, Luca Maria Aiello
PublisherSpringer Verlag
Pages35-42
Number of pages8
ISBN (Electronic)9783319151670
DOIs
StatePublished - 2015
Event6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain
Duration: 10 Nov 201413 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8852
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Social Informatics, SocInfo 2014
Country/TerritorySpain
CityBarcelona
Period10/11/1413/11/14

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