File-Centric Multi-Key Aggregate Keyword Searchable Encryption for Industrial Internet of Things

Rang Zhou, Xiaosong Zhang, Xiaojiang Du, Xiaofen Wang, Guowu Yang, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

Abstract

Cloud storage has been used to reduce the cost and support convenient collaborations for industrial Internet of things (IIoT) data management. When data owners share IIoT data with authorized parties for data interaction, secure cloud data searching and file access control are fundamental security requirements. In this paper, first we discuss a new insider attack to the Cui's multi-key aggregate searchable encryption scheme, where the unauthorized inside users can guess the other users private keys. Then, we propose a novel file-centric multi-key aggregate keyword searchable encryption (Fc-MKA-KSE) system for the IIoT data in the file-centric framework. Specifically, we present two formal security models, namely, the security models of the indistinguishable selective-file chosen keyword attack and the indistinguishable selective-file keyword guessing attack, which can satisfy the security requirements. Our experimental results show that the proposed scheme achieves computational efficiency.

Original languageEnglish
Article number8260882
Pages (from-to)3648-3658
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number8
DOIs
StatePublished - Aug 2018

Keywords

  • Data sharing
  • industrial Internet of things (IIoT)
  • searchable encryption
  • security
  • trapdoor privacy

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