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

^*此作品的通讯作者

School of Control and Computer Engineering
North China Electric Power University
Temple University
School of Computer
Hangzhou Dianzi University
Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

10 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2017 IEEE International Conference on Communications, ICC 2017
编辑	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9781467389990
DOI	https://doi.org/10.1109/ICC.2017.7997371
出版状态	已出版 - 28 7月 2017
已对外发布	是
活动	2017 IEEE International Conference on Communications, ICC 2017 - Paris, 法国期限: 21 5月 2017 → 25 5月 2017

丛书

姓名	IEEE International Conference on Communications
ISSN（印刷版）	1550-3607

会议

会议	2017 IEEE International Conference on Communications, ICC 2017
国家/地区	法国
市	Paris
时期	21/05/17 → 25/05/17

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ICC.2017.7997371

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 M. Debbah, D. Gesbert, & A. Mellouk (版本), 2017 IEEE International Conference on Communications, ICC 2017 期刊论文 7997371 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7997371

Guan, Zhitao ; Si, Guanlin ; Du, Xiaojiang 等. / Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid. 2017 IEEE International Conference on Communications, ICC 2017. 编辑 / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE International Conference on Communications).

@inproceedings{6442469f7d8a443595d93bb7f974d729,

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",

month = jul,

day = "28",

doi = "10.1109/ICC.2017.7997371",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",

booktitle = "2017 IEEE International Conference on Communications, ICC 2017",

address = "United States",

}

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. 在 M Debbah, D Gesbert & A Mellouk (版本), 2017 IEEE International Conference on Communications, ICC 2017., 7997371, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, 法国, 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 等.
2017 IEEE International Conference on Communications, ICC 2017. 编辑 / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7997371 (IEEE International Conference on Communications).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid

AU - Guan, Zhitao

AU - Si, Guanlin

AU - Du, Xiaojiang

AU - Liu, Peng

AU - Zhang, Zijian

AU - Zhou, Zhenyu

PY - 2017/7/28

Y1 - 2017/7/28

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

UR - https://www.scopus.com/pages/publications/85028320562

U2 - 10.1109/ICC.2017.7997371

DO - 10.1109/ICC.2017.7997371

M3 - Conference contribution

AN - SCOPUS:85028320562

T3 - IEEE International Conference on Communications

BT - 2017 IEEE International Conference on Communications, ICC 2017

A2 - Debbah, Merouane

A2 - Gesbert, David

A2 - Mellouk, Abdelhamid

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Communications, ICC 2017

Y2 - 21 May 2017 through 25 May 2017

ER -

Guan Z, Si G, Du X, Liu P, Zhang Z, Zhou Z. Protecting user privacy based on secret sharing with fault tolerance for big data in smart grid. 在 Debbah M, Gesbert D, Mellouk A, 编辑, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7997371. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7997371

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

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此