Privacy preserving energy management

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

doi:10.1007/978-3-319-15168-7_5

Privacy preserving energy management

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

Informatik 8 - Lehrstuhl für Netzarchitekturen und Netzdienste

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

1 Zitat (Scopus)

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.

Originalsprache	Englisch
Titel	Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers
Redakteure/-innen	Daniel McFarland, Luca Maria Aiello
Herausgeber (Verlag)	Springer Verlag
Seiten	35-42
Seitenumfang	8
ISBN (elektronisch)	9783319151670
DOIs	https://doi.org/10.1007/978-3-319-15168-7_5
Publikationsstatus	Veröffentlicht - 2015
Veranstaltung	6th International Conference on Social Informatics, SocInfo 2014 - Barcelona, Spanien Dauer: 10 Nov. 2014 → 13 Nov. 2014

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	8852
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	6th International Conference on Social Informatics, SocInfo 2014
Land/Gebiet	Spanien
Ort	Barcelona
Zeitraum	10/11/14 → 13/11/14

UN SDGs

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10.1007/978-3-319-15168-7_5

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Kinkelin, H., von Maltitz, M., Peter, B., Kappler, C., Niedermayer, H., & Carle, G. (2015). Privacy preserving energy management. in D. McFarland, & L. M. Aiello (Hrsg.), Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers (S. 35-42). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8852). Springer Verlag. https://doi.org/10.1007/978-3-319-15168-7_5

Kinkelin, Holger ; von Maltitz, Marcel ; Peter, Benedikt et al. / Privacy preserving energy management. Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers. Hrsg. / Daniel McFarland ; Luca Maria Aiello. Springer Verlag, 2015. S. 35-42 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Holger Kinkelin and {von Maltitz}, Marcel and Benedikt Peter and Cornelia Kappler and Heiko Niedermayer and Georg Carle",

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Kinkelin, H, von Maltitz, M, Peter, B, Kappler, C, Niedermayer, H & Carle, G 2015, Privacy preserving energy management. in D McFarland & LM Aiello (Hrsg.), Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 8852, Springer Verlag, S. 35-42, 6th International Conference on Social Informatics, SocInfo 2014, Barcelona, Spanien, 10/11/14. https://doi.org/10.1007/978-3-319-15168-7_5

Privacy preserving energy management. / Kinkelin, Holger; von Maltitz, Marcel; Peter, Benedikt et al.
Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers. Hrsg. / Daniel McFarland; Luca Maria Aiello. Springer Verlag, 2015. S. 35-42 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8852).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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T1 - Privacy preserving energy management

AU - Kinkelin, Holger

AU - von Maltitz, Marcel

AU - Peter, Benedikt

AU - Kappler, Cornelia

AU - Niedermayer, Heiko

AU - Carle, Georg

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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DO - 10.1007/978-3-319-15168-7_5

M3 - Conference contribution

AN - SCOPUS:84924366630

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers

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Kinkelin H, von Maltitz M, Peter B, Kappler C, Niedermayer H, Carle G. Privacy preserving energy management. in McFarland D, Aiello LM, Hrsg., Social Informatics - SocInfo 2014 International Workshops, Revised Selected Papers. Springer Verlag. 2015. S. 35-42. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-15168-7_5

Privacy preserving energy management

Abstract

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UN SDGs

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