Achieving Privacy-Preserving DSSE for Intelligent IoT Healthcare System

Yaru Liu, Jia Yu, Jianxi Fan, Pandi Vijayakumar, Victor Chang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
38 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)2010-2020
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number3
DOIs
Publication statusPublished - 1 Mar 2022

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