Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid

Zhitao Guan; Guanlin Si; Xiaojiang Du; Peng Liu; Zijian Zhang; Zhenyu Zhou

doi:10.1109/ICC.2017.7997371

Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid

Zhitao Guan
, Guanlin Si
, Xiaojiang Du
, Peng Liu
, Zijian Zhang
, Zhenyu Zhou

Department of Electrical and Computer Engineering

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

10 Scopus citations

Abstract

In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home. Big data acquired in smart grid applications is usually sensitive. For instance, in order to dispatch accurately and support the dynamic price, lots of smart meters are installed at user's house to collect the real-time data, but all these collected data are related to user privacy. In this paper, we propose a data aggregation scheme based on secret sharing with fault tolerance in smart grid, which ensures that control center gets the integrated data without revealing user's privacy. Meanwhile, we also consider fault tolerance during the data aggregation. At last, we analyze the security of our scheme and carry out experiments to validate the results.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7997371
State	Published - 28 Jul 2017
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

big data
fault tolerance
privacy-preserving
smart grid

Access to Document

10.1109/ICC.2017.7997371

Cite this

Guan, Z., Si, G., Du, X., Liu, P., Zhang, Z., & Zhou, Z. (2017). Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7997371 (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2017.7997371

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title = "Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid",

abstract = "In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home. Big data acquired in smart grid applications is usually sensitive. For instance, in order to dispatch accurately and support the dynamic price, lots of smart meters are installed at user's house to collect the real-time data, but all these collected data are related to user privacy. In this paper, we propose a data aggregation scheme based on secret sharing with fault tolerance in smart grid, which ensures that control center gets the integrated data without revealing user's privacy. Meanwhile, we also consider fault tolerance during the data aggregation. At last, we analyze the security of our scheme and carry out experiments to validate the results.",

keywords = "big data, fault tolerance, privacy-preserving, smart grid",

author = "Zhitao Guan and Guanlin Si and Xiaojiang Du and Peng Liu and Zijian Zhang and Zhenyu Zhou",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

year = "2017",

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day = "28",

doi = "10.1109/ICC.2017.7997371",

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Guan, Z, Si, G, Du, X, Liu, P, Zhang, Z & Zhou, Z 2017, Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7997371, IEEE International Conference on Communications, 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7997371

Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid. / Guan, Zhitao; Si, Guanlin; Du, Xiaojiang et al.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. 2017. 7997371 (IEEE International Conference on Communications).

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

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AU - Guan, Zhitao

AU - Si, Guanlin

AU - Du, Xiaojiang

AU - Liu, Peng

AU - Zhang, Zijian

AU - Zhou, Zhenyu

PY - 2017/7/28

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N2 - In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home. Big data acquired in smart grid applications is usually sensitive. For instance, in order to dispatch accurately and support the dynamic price, lots of smart meters are installed at user's house to collect the real-time data, but all these collected data are related to user privacy. In this paper, we propose a data aggregation scheme based on secret sharing with fault tolerance in smart grid, which ensures that control center gets the integrated data without revealing user's privacy. Meanwhile, we also consider fault tolerance during the data aggregation. At last, we analyze the security of our scheme and carry out experiments to validate the results.

AB - In smart grid, large quantities of data is collected from various applications, such as smart metering substation state monitoring, electric energy data acquisition, and smart home. Big data acquired in smart grid applications is usually sensitive. For instance, in order to dispatch accurately and support the dynamic price, lots of smart meters are installed at user's house to collect the real-time data, but all these collected data are related to user privacy. In this paper, we propose a data aggregation scheme based on secret sharing with fault tolerance in smart grid, which ensures that control center gets the integrated data without revealing user's privacy. Meanwhile, we also consider fault tolerance during the data aggregation. At last, we analyze the security of our scheme and carry out experiments to validate the results.

KW - big data

KW - fault tolerance

KW - privacy-preserving

KW - smart grid

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M3 - Conference contribution

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T3 - IEEE International Conference on Communications

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Y2 - 21 May 2017 through 25 May 2017

ER -

Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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