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)
Citation
MIAO, Yinbin; TONG, Qiuyun; CHOO, Kim-Kwang Raymond; LIU, Ximeng; DENG, Robert H.; and LI, Hongwei.
Secure online/offline data sharing framework for cloud-assisted industrial internet of things. (2019). IEEE Internet of Things. 6, (5), 8681-8691.
Available at: https://ink.library.smu.edu.sg/sis_research/4524
Additional URL
https://doi.org/10.1109/JIOT.2019.2923068