Privacy-preserving ranked multi-keyword search leveraging polynomial function in cloud computing

Yanzhi Ren, Yingying Chen, Jie Yang, Bin Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The rapid deployment of cloud computing provides users with the ability to outsource their data to public cloud for economic savings and flexibility. To protect data privacy, users have to encrypt the data before outsourcing to the cloud, which makes the data utilization, such as data retrieval, a challenging task. It is thus desirable to enable the search service over encrypted cloud data for supporting effective and efficient data retrieval over a large number of data users and documents in the cloud. Existing approaches on encrypted cloud data search either focus on single keyword search or become inefficient when a large amount of documents are present, and thus have little support for the efficient multi-keyword search. In this paper, we propose a light-weight search approach that supports efficient multi-keyword ranked search in cloud computing system. Specifically, we first propose a basic scheme using polynomial function to hide the encrypted keyword and search patterns for efficient multi-keyword ranked search. To enhance the search privacy, we propose a privacy-preserving scheme which utilizes the secure inner product method for protecting the privacy of the searched multi-keywords. We analyze the privacy guarantee of our proposed scheme and conduct extensive experiments based on the real-world dataset. The experiment results demonstrate that our scheme can enable the encrypted multi-keyword ranked search service with high efficiency in cloud computing.

Original languageEnglish (US)
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages594-600
Number of pages7
ISBN (Electronic)9781479935116
DOIs
StatePublished - Feb 9 2014
Externally publishedYes
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: Dec 8 2014Dec 12 2014

Publication series

Name2014 IEEE Global Communications Conference, GLOBECOM 2014

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period12/8/1412/12/14

All Science Journal Classification (ASJC) codes

  • Communication
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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    Ren, Y., Chen, Y., Yang, J., & Xie, B. (2014). Privacy-preserving ranked multi-keyword search leveraging polynomial function in cloud computing. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 594-600). [7036872] (2014 IEEE Global Communications Conference, GLOBECOM 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7036872