An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability

Bofeng Pan; Peng Zeng; Kim Kwang Raymond Choo

doi:10.1007/978-3-319-61566-0_63

An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability

Bofeng Pan
, Peng Zeng^*
, Kim Kwang Raymond Choo

^*Corresponding author for this work

Software Engineering Institute

East China Normal University
University of Texas at San Antonio

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

Abstract

Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.

Original language	English
Title of host publication	Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
Editors	Leonard Barolli, Olivier Terzo
Publisher	Springer Verlag
Pages	677-688
Number of pages	12
ISBN (Print)	9783319615653
DOIs	https://doi.org/10.1007/978-3-319-61566-0_63
State	Published - 2018
Event	11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 - Torino, Italy Duration: 10 Jul 2017 → 12 Jul 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	611
ISSN (Print)	2194-5357

Conference

Conference	11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017
Country/Territory	Italy
City	Torino
Period	10/07/17 → 12/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Data aggregation
Data analysis
Privacy-preserving
Smart grid

Access to Document

10.1007/978-3-319-61566-0_63

Cite this

Pan, B., Zeng, P., & Choo, K. K. R. (2018). An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability. In L. Barolli, & O. Terzo (Eds.), Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017 (pp. 677-688). (Advances in Intelligent Systems and Computing; Vol. 611). Springer Verlag. https://doi.org/10.1007/978-3-319-61566-0_63

Pan, Bofeng ; Zeng, Peng ; Choo, Kim Kwang Raymond. / An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability. Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. editor / Leonard Barolli ; Olivier Terzo. Springer Verlag, 2018. pp. 677-688 (Advances in Intelligent Systems and Computing).

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abstract = "Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.",

keywords = "Data aggregation, Data analysis, Privacy-preserving, Smart grid",

author = "Bofeng Pan and Peng Zeng and Choo, \{Kim Kwang Raymond\}",

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series = "Advances in Intelligent Systems and Computing",

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Pan, B, Zeng, P & Choo, KKR 2018, An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability. in L Barolli & O Terzo (eds), Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. Advances in Intelligent Systems and Computing, vol. 611, Springer Verlag, pp. 677-688, 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017, Torino, Italy, 10/07/17. https://doi.org/10.1007/978-3-319-61566-0_63

An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability. / Pan, Bofeng; Zeng, Peng; Choo, Kim Kwang Raymond.
Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. ed. / Leonard Barolli; Olivier Terzo. Springer Verlag, 2018. p. 677-688 (Advances in Intelligent Systems and Computing; Vol. 611).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2018

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N2 - Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.

AB - Smart grids allow real-time monitoring and management of electricity usage, etc. to meet the varying demands of end users. In this paper, we propose an efficient data aggregation scheme in privacy-preserving smart grid communications. Specifically, users in our scheme can be divided into several groups of any size according to different criteria (e.g. geographic regions and desired features), and the control center (e.g. government, utility provider) can obtain real-time electricity usage information of each group in a privacy-preserving manner. This allows control center to conduct fine-grained analysis and make informed decisions.

KW - Data aggregation

KW - Data analysis

KW - Privacy-preserving

KW - Smart grid

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BT - Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017

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PB - Springer Verlag

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Pan B, Zeng P, Choo KKR. An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability. In Barolli L, Terzo O, editors, Complex, Intelligent, and Software Intensive Systems - Proceedings of the 11th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2017. Springer Verlag. 2018. p. 677-688. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-61566-0_63

An efficient data aggregation scheme in privacy-preserving smart grid communications with a high practicability

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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