Secure Edge Computing in IoT Systems: Review and Case Studies

Mohammed Alrowaily, Zhuo Lu
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引用次数: 63

Abstract

Today, the architectures for efficient and secure network system designs, such as Internet of Things (IoT) and big data analytics, are growing at a faster pace than ever before. Edge computing for an IoT system is data processing that is done at or near the collectors of data in an IoT system. In this paper, we aim to briefly review the concepts, features, security, applications of IoT empowered edge computing as well as its security aspects in our data-driven world. We focus on clarifying different aspects that should be taken into consideration while creating a scalable, reliable, secure and distributed edge computing system. We also summarize the basic ideas regarding security risk mitigation techniques. Then, we explore the presented challenges and opportunities in the field of edge computing. Finally, we review two case studies, smart parking and content delivery network (CDN), and analyze different methods in which IoT systems can be used to carry out daily tasks.
物联网系统中的安全边缘计算:回顾和案例研究
如今,高效、安全的网络系统设计架构,如物联网(IoT)和大数据分析,正以前所未有的速度增长。物联网系统的边缘计算是在物联网系统中数据收集器处或附近完成的数据处理。在本文中,我们旨在简要回顾物联网支持的边缘计算的概念,功能,安全性,应用以及其在数据驱动世界中的安全方面。我们专注于澄清在创建可扩展、可靠、安全和分布式边缘计算系统时应该考虑的不同方面。我们还总结了有关安全风险缓解技术的基本思想。然后,我们探讨了边缘计算领域面临的挑战和机遇。最后,我们回顾了两个案例研究,智能停车和内容分发网络(CDN),并分析了物联网系统用于执行日常任务的不同方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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