Achieving Privacy-Preserving DSSE for Intelligent IoT Healthcare System


As the product of combining Internet of Things (IoT), cloud computing, and traditional healthcare, Intelligent IoT Healthcare (IIoTH) brings us a lot of convenience, meanwhile security and privacy issues have attracted great attention. Dynamic searchable symmetric encryption (DSSE) technique can make the user search the dynamic healthcare information from IIoTH system under the condition that the privacy is protected. In this article, a novel privacy-preserving DSSE scheme for IIoTH system is proposed. It is the first DSSE scheme designed for personal health record (PHR) files database with forward security. We construct the secure index based on hash chain and realize trapdoor updates for resisting file injection attacks. In addition, we realize fine-grained search over encrypted PHR files database of attribute-value type. When the user executes search operations, he/she gets only a matched attribute value instead of the whole file. As a result, the communication cost is reduced and the disclosure of patient's privacy is minimized. The proposed scheme also achieves attribute access control, which allows users have different access authorities to attribute values. The specific security analysis and experiments show the security and the efficiency of the proposed scheme.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
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Uncontrolled Keywords: Attribute access control,forward security,Intelligent Internet of Things Healthcare (IIoTH),privacy preserving,searchable encryption (SE),Control and Systems Engineering,Information Systems,Computer Science Applications,Electrical and Electronic Engineering
Publication ISSN: 1551-3203
Last Modified: 22 Jul 2024 07:28
Date Deposited: 26 May 2022 09:28
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://ieeexpl ... ocument/9502532 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-03-01
Published Online Date: 2021-07-30
Accepted Date: 2021-07-21
Authors: Liu, Yaru
Yu, Jia
Fan, Jianxi
Vijayakumar, Pandi
Chang, Victor (ORCID Profile 0000-0002-8012-5852)



Version: Accepted Version

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