A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid

The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could...

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Vydané v:	IEEE transactions on industrial informatics Ročník 15; číslo 3; s. 1767 - 1774
Hlavní autori:	Liu, Yining, Guo, Wei, Fan, Chun-I, Chang, Liang, Cheng, Chi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2019
Predmet:	Cryptography Data aggregation Data privacy data utility distributed decryption algorithm Logic gates Privacy privacy preservation Real-time systems smart grid
ISSN:	1551-3203, 1941-0050
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Abstract	The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could be a feasible solution. Most of the existing data aggregation schemes rely on a trusted third party (TTP). However, this assumption will have negative impact on reliability, because the system can be easily knocked down by the denial of service attack. In this paper, a practical privacy-preserving data aggregation scheme is proposed without TTP, in which the users with some extent trust construct a virtual aggregation area to mask the single user's data, and meanwhile, the aggregation result almost has no effect for the data utility in large scale applications. The computation cost and communication overhead are reduced in order to promote the practicability. Moreover, the security analysis and the performance evaluation show that the proposed scheme is robust and efficient.
AbstractList	The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be protected. How to balance the data utility and the privacy preservation is a vital issue, where the privacy-preserving data aggregation could be a feasible solution. Most of the existing data aggregation schemes rely on a trusted third party (TTP). However, this assumption will have negative impact on reliability, because the system can be easily knocked down by the denial of service attack. In this paper, a practical privacy-preserving data aggregation scheme is proposed without TTP, in which the users with some extent trust construct a virtual aggregation area to mask the single user's data, and meanwhile, the aggregation result almost has no effect for the data utility in large scale applications. The computation cost and communication overhead are reduced in order to promote the practicability. Moreover, the security analysis and the performance evaluation show that the proposed scheme is robust and efficient.
Author	Liu, Yining Guo, Wei Chang, Liang Fan, Chun-I Cheng, Chi
Author_xml	– sequence: 1 givenname: Yining orcidid: 0000-0002-6487-7595 surname: Liu fullname: Liu, Yining email: ynliu@guet.edu.cn organization: Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China – sequence: 2 givenname: Wei orcidid: 0000-0002-6224-0953 surname: Guo fullname: Guo, Wei email: guoweigetit@gmail.com organization: Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China – sequence: 3 givenname: Chun-I orcidid: 0000-0002-7512-1291 surname: Fan fullname: Fan, Chun-I email: cifan@cse.nsysu.edu.tw organization: Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan – sequence: 4 givenname: Liang orcidid: 0000-0002-7262-4707 surname: Chang fullname: Chang, Liang email: changl@guet.edu.cn organization: Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China – sequence: 5 givenname: Chi orcidid: 0000-0001-5603-0610 surname: Cheng fullname: Cheng, Chi email: chengchizz@gmail.com organization: School of Computer Science, China University of Geosciences, Wuhan, China
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Snippet	The real-time electricity consumption data can be used in value-added service such as big data analysis, meanwhile the single user's privacy needs to be...
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SubjectTerms	Cryptography Data aggregation Data privacy data utility distributed decryption algorithm Logic gates Privacy privacy preservation Real-time systems smart grid
Title	A Practical Privacy-Preserving Data Aggregation (3PDA) Scheme for Smart Grid
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