Hybrid keyword-field search with efficient key management for industrial Internet of Things

Publication Type

Journal Article

Publication Date

6-2019

Abstract

Equipped with the emerging cloud computing, clients prefer to outsource the increasing number of Industrial Internet of things (IIoT) data to cloud to reduce the high storage and computation burden. However, existing searchable encryption (SE) schemes just apply to IIoT records containing textual keyword fields rather than both digital and textual keyword ones. Besides, the key management issue still impedes the practicality and availability of SE schemes due to high key storage overhead. To this end, we present an outsourced Hybrid Keyword-Field Search over encrypted data with efficient Keys Management (HKFS-KM) scheme by utilizing the relevance score function and keyed hash tree. Formal security analysis proves that the HKFS-KM scheme can achieve keyword privacy and trapdoor unlinkability in both known ciphertexts attack model and known background attack model. Experimental results using real-world dataset show its efficiency and practicality in practice.

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Industrial Informatics

Volume

15

Issue

6

First Page

3206

Last Page

3217

ISSN

1551-3203

Identifier

10.1109/TII.2018.2877146

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Additional URL

https://doi.org/10.1109/TII.2018.2877146

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