Peer-to-Peer Networking and Applications

, Volume 11, Issue 2, pp 287–297 | Cite as

VMKDO: Verifiable multi-keyword search over encrypted cloud data for dynamic data-owner

  • Yinbin Miao
  • Jianfeng Ma
  • Ximeng Liu
  • Zhiquan Liu
  • Limin Shen
  • Fushan Wei
Article

Abstract

The advantages of cloud computing encourage individuals and enterprises to outsource their local data storage and computation to cloud server, however, data security and privacy concerns seriously hinder the practicability of cloud storage. Although searchable encryption (SE) technique enables cloud server to provide fundamental encrypted data retrieval services for data-owners, equipping with a result verification mechanism is still of prime importance in practice as semi-trusted cloud server may return incorrect search results. Besides, single keyword search inevitably incurs many irrelevant results which result in waste of bandwidth and computation resources. In this paper, we are among the first to tackle the problems of data-owner updating and result verification simultaneously. To this end, we devise an efficient cryptographic primitive called as verifiable multi-keyword search over encrypted cloud data for dynamic data-owner scheme to protect both data confidentiality and integrity. Rigorous security analysis proves that our scheme is secure against keyword guessing attack (KGA) in standard model. As a further contribution, the empirical experiments over real-world dataset show that our scheme is efficient and feasible in practical applications.

Keywords

Cloud storage Searchable encryption Result verification Data-owner updating Keyword guessing attack 

Notes

Acknowledgments

This work was supported by the National High Technology Research and Development Program (863 Program) (No. 2015AA016007, No. 2015AA017203), the Key Program of NSFC (No. U1405255, No. U1135002), the Changjiang Scholars and Innovation Research Team in University (No. IRT1078), the Fundamental Research Funds for the Center Universities (No. JY10000903001) and the Major Nature Science Foundation of China (No. 61370078, No. 61309016).

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Yinbin Miao
    • 1
  • Jianfeng Ma
    • 1
  • Ximeng Liu
    • 2
  • Zhiquan Liu
    • 1
  • Limin Shen
    • 1
  • Fushan Wei
    • 3
  1. 1.State Key Laboratory of Integrated Services NetworksXidian UniversityXi’anChina
  2. 2.School of Information SystemsSingapore Management UniversitySingaporeSingapore
  3. 3.State Key Laboratory of Mathematical Engineering and Advanced ComputingThe PLA Information Engineering UniversityZhengzhouChina

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