计算机科学
云计算
加密
互联网
数据共享
密文
计算机安全
云存储
基于属性的加密
在线和离线
计算机网络
公钥密码术
万维网
操作系统
病理
替代医学
医学
作者
Yinbin Miao,Qiuyun Tong,Kim‐Kwang Raymond Choo,Ximeng Liu,Robert H. Deng,Hongwei Li
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2019-10-01
卷期号:6 (5): 8681-8691
被引量:69
标识
DOI:10.1109/jiot.2019.2923068
摘要
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.
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