Secure online/offline data sharing framework for cloud-assisted industrial internet of things

Publication Type

Journal Article

Publication Date

6-2019

Abstract

Ciphertext-policy attribute-based keyword search (CP-ABKS) schemes facilitate the fine-grained keyword search over encrypted data, such as those sensed/collected from Industrial Internet of Things (IIoT) devices and stored in the cloud. However, existing CP-ABKS schemes generally have significant computation and storage requirements, which are beyond those of resource-constrained IIoT devices. Therefore, in this paper, we design a secure online/offline data sharing framework (DSF), which supports online/offline encryption and outsourced decryption. Using the healthcare setting as a case study, we demonstrate how DSF can be deployed in the cloud-assisted Healthcare IIoT (HealthIIoT) system. We not only prove that the DSF is selectively secure in the chosen access structure security model but also demonstrate its efficiency and feasibility in practical scenarios using experiments.

Keywords

Encryption, Medical services, Internet of Things, Keyword search, Access control, Cloud computing

Discipline

Information Security

Research Areas

Cybersecurity

Publication

IEEE Internet of Things

Volume

6

Issue

5

First Page

8681

Last Page

8691

ISSN

2327-4662

Identifier

10.1109/JIOT.2019.2923068

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Additional URL

https://doi.org/10.1109/JIOT.2019.2923068

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