A Hybrid Data Security System of Internet of Things

被引：0

作者：

Song, Haowei ^{[1
]}

Liang, Hai-Ning ^{[1
]}

Liu, Lu ^{[1
]}

Ma, Jieming ^{[1
]}

Huang, Xin ^{[1
]}

机构：

[1] Xian Jiaotong Liverpool Univ, Dept Comp Sci & Software Engn, Suzhou, Peoples R China

来源：

2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019) | 2019年

关键词：

Internet of Things (IoT); data security; encryption; failover system; shortest job first (SJF); IOT;

D O I：

10.1109/icbda.2019.8713221

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, there has been a tremendous growth in Internet of Things (IoT) applications and services. These have changed our economic and social activities, strategic infrastructure resources and people's lives on a global Internet connectivity network-they have also changes many people's lifestyles. Their growth has brought also issues about security and privacy. If an IoT system is attacked, there could be data theft and it could go off-line and as such there could be disastrous consequences. This paper analyzes data security and puts forward an architecture, including a triple encryption approach, a kind of failover system, and a shortest job first (SJF) scheduling. It also presents results of a simulation and relative test we have conducted. Finally, a brief discussion that includes the limitations and weaknesses of this framework and the future work are given.

引用

页码：269 / 273

页数：5

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