A Privacy Preserving Framework for the Internet of Things

被引:0
|
作者
Abou-Tair, Dhiah el Diehn I. [1 ]
Buchsenstein, Simon [1 ]
Khalifeh, Ala' [1 ]
机构
[1] German Jordanian Univ, Sch Elect Engn & Informat Technol, Amman 11180, Jordan
来源
2018 19TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2018年
关键词
Internet of Things; Cloud Computing; FOG Computing; Privacy; Security;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the proliferation of the Internet of Things (IoT) and cloud based services, it becomes very essential to design and implement efficient mechanisms, to protect the users private information and secure them, taking into account the IoT devices limited computational and storage capabilities. In addition, these devices are usually accessed by multiple users, and are connected to a cloud service provider, that have an access of the users data. In this paper, a privacy preserving framework is proposed that utilizes Fog layer, which act as intermediator between the IoT devices and the cloud, where users data are anonymized and secured. Further, a case study in the field of healthcare is described that shows the importance of the proposed framework.
引用
收藏
页码:27 / 31
页数:5
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