An Efficient and Secure Range Query Scheme for Encrypted Data in Smart Grid

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationMobile Ad-hoc and Sensor Networks - 13th International Conference, MSN 2017, Revised Selected Papers
EditorsLiehuang Zhu, Sheng Zhong
PublisherSpringer Verlag
Pages1-18
ISBN (Electronic)9789811088902
ISBN (Print)9789811088896
Publication statusPublished - Dec 2017
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
Volume747
ISSN (Print)1865-0929

Conference

Title13th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2017)
PlaceChina
CityBeijing
Period17 - 20 December 2017

Abstract

In smart grid information systems, the electricity usage data should be audited by data users, such as the market analysts to finish their tasks. Besides that, electricity company always outsources the data to the cloud server (CS) to release its data management pressure. Since the CS is untrusted and the detailed electricity usage data contains users’ privacy, the privacy concern of the data and data users’ queries is raised. Although many schemes have been proposed to achieve the encrypted data query in smart grid, they are not applied well due to the numeric attributes in electricity usage data and privacy concern in smart grid application. In this paper, we provide an efficient privacy-preserving scheme for range query in smart grid. Our scheme achieves the range query without disclosing the privacy of the data and queries. And the performance shows that our scheme can reduce the computation cost for both the data owner and data users, and shorten the response time of every query, which is great significance for smart grid application.

Research Area(s)

  • Privacy-preserving, Range query, Smart grid

Citation Format(s)

An Efficient and Secure Range Query Scheme for Encrypted Data in Smart Grid. / Zeng, Xiaoli; Hu, Min; Yu, Nuo; Jia, Xiaohua.

Mobile Ad-hoc and Sensor Networks - 13th International Conference, MSN 2017, Revised Selected Papers. ed. / Liehuang Zhu; Sheng Zhong. Springer Verlag, 2017. p. 1-18 (Communications in Computer and Information Science; Vol. 747).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review