Recent Security Trends in Internet of Things: A Comprehensive Survey

被引:38
|
作者
Harbi, Yasmine [1 ]
Aliouat, Zibouda [1 ]
Refoufi, Allaoua [1 ]
Harous, Saad [2 ]
机构
[1] Ferhat Abbas Univ Setif 1, Fac Sci, Setif 19000, Algeria
[2] Univ Sharjah, Dept Comp Sci, Coll Comp & Informat, Sharjah, U Arab Emirates
来源
IEEE ACCESS | 2021年 / 9卷
关键词
Security; Internet of Things; Edge computing; Protocols; Taxonomy; Communication networks; Machine learning; Blockchain; edge computing; fog computing; IoT; lightweight cryptography; machine learning; SDN; DATA AGGREGATION SCHEME; AUTHENTICATION SCHEME; USER AUTHENTICATION; ENCRYPTION SCHEME; IOT; LIGHTWEIGHT; PRIVACY; PROTOCOL; CHALLENGES; FRAMEWORK;
D O I
10.1109/ACCESS.2021.3103725
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Internet of Things (IoT) aims to transform everyday physical objects into an interconnected ecosystem with digital data accessible anywhere and anytime. "Things" in IoT are embedded with sensing, processing, and actuating capabilities and cooperate in providing smart and innovative services autonomously. The rapid spread of IoT services arises different security vulnerabilities that need to be carefully addressed. Several emerging and promising technologies and techniques are introduced to improve the security of IoT. This paper aims to provide an up-to-date vision of the current research topics related to IoT security. Initially, we introduce common elements and protocols of IoT to demystify the origins of threats in IoT. Then, we propose a taxonomy of IoT attacks and analyze the security vulnerabilities of IoT at different layers. Subsequently, we provide a comparison of recent security schemes based on emerging solutions including fog computing, edge computing, software-defined networking (SDN), blockchain, lightweight cryptography, homomorphic and searchable encryption, and machine learning. Finally, security challenges are discussed and future directions are highlighted for future interested researchers.
引用
收藏
页码:113292 / 113314
页数:23
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