An Edge-Driven Security Framework for Intelligent Internet of Things

被引:19
|
作者
Dai, Minghui [1 ]
Su, Zhou [2 ]
Li, Ruidong [3 ]
Wang, Yuntao [4 ]
Ni, Jianbing [5 ]
Fang, Dongfeng [6 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[2] Shanghai Univ, Shanghai, Peoples R China
[3] Natl Inst Informat & Commun Technol, Tokyo, Japan
[4] Xi An Jiao Tong Univ, Sch Cyber Sci & Engn, Xian, Peoples R China
[5] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada
[6] Calif Polytech State Univ San Luis Obispo, Dept Comp Sci & Software Engn, San Luis Obispo, CA USA
来源
IEEE NETWORK | 2020年 / 34卷 / 05期
关键词
Internet of Things; Cloud computing; Security; Edge computing; Servers; Logistics; Image edge detection; FOG; CHALLENGES;
D O I
10.1109/MNET.011.2000068
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The rise of the intelligent Internet of Things (IoT) promotes the development of emerging technologies and industries with the integration of edge computing and cloud computing. This integrated paradigm becomes a promising prospect to continuously expand the service capabilities of IoT. However, edge-driven intelligent IoT systems raises serious security issues as the systems are prone to be compromised by malicious attacks. In this article, an edge-driven security framework is investigated for intelligent IoT systems. First, we introduce the architecture of edge-driven intelligent IoT, and present typical edge-driven intelligent IoT applications. Second, we point out the security threats in edge-driven intelligent IoT in terms of attack behaviors of adversaries. Third, we develop a case study of edge-driven intelligent IoT from the security perspective. Finally, we discuss future research directions in this emerging area.
引用
收藏
页码:39 / 45
页数:7
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