A Novel Privacy Preserving Search Technique for Stego Data in Untrusted Cloud

Rahman, M, Khalil, I, Yi, X and Gu, T 2019, 'A Novel Privacy Preserving Search Technique for Stego Data in Untrusted Cloud', in Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019), Maui, Hawaii, 8-11 January 2019, pp. 4246-4255.


Document type: Conference Paper
Collection: Conference Papers

Title A Novel Privacy Preserving Search Technique for Stego Data in Untrusted Cloud
Author(s) Rahman, M
Khalil, I
Yi, X
Gu, T
Year 2019
Conference name HICSS 2019
Conference location Maui, Hawaii
Conference dates 8-11 January 2019
Proceedings title Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 2019)
Publisher The Association for Information Systems
Place of publication United States
Start page 4246
End page 4255
Total pages 10
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.
Subjects Ubiquitous Computing
Mobile Technologies
Networking and Communications
Copyright notice © Creative Commons Licence BY-NC-ND 4.0
ISBN 9780998133126
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