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

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Item Summary Rahman, Mohammad Saidur Khalil, Ibrahim Yi, Xun Gu, Tao 2019-01-03T00:24:51Z 2019-01-03T00:24:51Z 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.description.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.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Security and Privacy Challenges in Healthcare
dc.subject Information Technology in Healthcare
dc.subject privacy in healthcare, search over stego data, privacy preserving search, untrusted cloud, steganography
dc.title A Novel Privacy Preserving Search Technique for Stego Data in Untrusted Cloud
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.513
Appears in Collections: Security and Privacy Challenges in Healthcare

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