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

Research output: Contribution to journalArticlepeer-review

222 Scopus citations

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
StatePublished - Dec 2017

Keywords

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

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