Achieving Efficient and Secure Data Acquisition for Cloud-Supported Internet of Things in Smart Grid

Zhitao Guan, Jing Li*, Longfei Wu, Yue Zhang, Jun Wu, Xiaojiang Du

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

164 Citations (Scopus)

Abstract

Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, while the substantial amount of data is stored and managed in the cloud server. Achieving data security and system efficiency in the data acquisition and transmission process are of great significance and challenging, because the power grid-related data is sensitive and in huge amount. In this paper, we present an efficient and secure data acquisition scheme based on ciphertext policy attribute-based encryption. Data acquired from the terminals will be partitioned into blocks and encrypted with its corresponding access subtree in sequence, thereby the data encryption and data transmission can be processed in parallel. Furthermore, we protect the information about the access tree with threshold secret sharing method, which can preserve the data privacy and integrity from users with the unauthorized sets of attributes. The formal analysis demonstrates that the proposed scheme can fulfill the security requirements of the Cloud-IoT in smart grid. The numerical analysis and experimental results indicate that our scheme can effectively reduce the time cost compared with other popular approaches.

Original languageEnglish
Article number7891593
Pages (from-to)1934-1944
Number of pages11
JournalIEEE Internet of Things Journal
Volume4
Issue number6
DOIs
Publication statusPublished - 2017 Dec
Externally publishedYes

Keywords

  • Ciphertext policy attribute-based encryption (CP-ABE)
  • Cloud-supported IoT (Cloud-IoT)
  • data acquisition
  • parallel
  • smart grid

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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