A novel privacy preserving search technique for stego data in untrusted cloud

Mohammad Saidur Rahman, Ibrahim Khalil, Xun Yi, Tao Gu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)
7 Downloads (Pure)

Abstract

We propose the first privacy preserving search technique for stego health data in untrusted cloud in this paper. The Cloud computing is a popular technology to the healthcare providers for outsourcing health data due to flexibility and cost effectiveness. However, outsourcing health data to the cloud introduces serious privacy issues to the patient. For example, dishonest personnel of the cloud provider may disclose patient sensitive information to business organizations for some financial benefits. Using steganography, patient sensitive information is hidden within health data for privacy preservation. As a result, stego health data is generated. To the best of our knowledge, no method exists for searching a particular stego data without disclosing any information to the cloud. We propose a framework for privacy preserving search over stego health data. We systematically describe each component of the proposed framework. We conduct several experiments to evaluate the performance of the framework.
Original languageEnglish
Title of host publicationProceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
EditorsTung X. Bui
Place of PublicationMaui, Hawaii
PublisherUniversity of Hawaii at Manoa
Pages4246-4255
Number of pages10
ISBN (Print)9780998133126
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event52nd Annual Hawaii International Conference on System Sciences, HICCS 2019 - Maui, United States
Duration: 8 Jan 201911 Jan 2019

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume2019-January
ISSN (Print)1530-1605

Conference

Conference52nd Annual Hawaii International Conference on System Sciences, HICCS 2019
Abbreviated titleHICSS 52
CountryUnited States
CityMaui
Period8/01/1911/01/19

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Security and Privacy Challenges in Healthcare
  • Information Technology in Healthcare
  • privacy in healthcare
  • search over stego data
  • privacy preserving search
  • untrusted cloud
  • steganography

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