同态加密
计算机科学
加密
计算机安全
Paillier密码体制
服务器
大数据
信息隐私
云计算
隐私软件
服务提供商
方案(数学)
密码学
计算机网络
服务(商务)
公钥密码术
数据挖掘
业务
数学分析
营销
操作系统
混合密码体制
数学
作者
Shancang Li,Shanshan Zhao,Geyong Min,Lianyong Qi,Gang Liu
出处
期刊:IEEE Internet of Things Journal
[Institute of Electrical and Electronics Engineers]
日期:2022-08-15
卷期号:9 (16): 14542-14550
被引量:27
标识
DOI:10.1109/jiot.2021.3066427
摘要
The emerging technologies, such as smart sensors, 5G/6G wireless communication, artificial intelligence, etc. , have been maturing the future Internet of Things (IoT) by connecting the massive number of devices, which are expected to consistently collect and transmit real-time data to support business intelligence in an efficient and privacy-preserving way. The IoT can afford businesses predictive maintenance, improve field service, asset tracking, and further enhance customer satisfaction and facility management in industrial sectors. However, the privacy concern in IoT is a big challenge in IoT applications and services. This work proposed a lightweight privacy-preserving scheme based on homomorphic encryption in the context of the IoT, in which we investigated and analyzed the privacy issues between the data owners, untrustworthy third-party cloud servers, and the data users. Meanwhile, computationally efficient homomorphic algorithms are proposed to guarantee the privacy protection for the data users. Experimental results demonstrate that the proposed scheme can effectively prevent privacy breaches in IoT.
科研通智能强力驱动
Strongly Powered by AbleSci AI