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

页码：39 / 45

页数：7

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