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 language | English |
|---|---|
| Title of host publication | Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers |
| Editors | Daniel McFarland, Luca Maria Aiello |
| Publisher | Springer Verlag |
| Pages | 35-42 |
| Number of pages | 8 |
| ISBN (Electronic) | 9783319151670 |
| DOIs | |
| State | Published - 2015 |
| Event | 6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spain Duration: 10 Nov 2014 → 13 Nov 2014 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 8852 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 6th International Conference on Social Informatics, SocInfo 2014 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 10/11/14 → 13/11/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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