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An Edge-Driven Security Framework for Intelligent Internet of Things | IEEE Journals & Magazine | IEEE Xplore

An Edge-Driven Security Framework for Intelligent Internet of Things


Abstract:

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 com...Show More

Abstract:

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.
Published in: IEEE Network ( Volume: 34, Issue: 5, September/October 2020)
Page(s): 39 - 45
Date of Publication: 18 September 2020

ISSN Information:


Introduction

The Internet of Things (IoT), which integrates physical systems and communication networks, can facilitate advanced and intelligent services for human beings [1]. Intelligent IoT, as a new computing paradigm, is envisioned to transform the physical world into the digital world [2]. The increasing development of IoT devices has led to notable innovations in communication technologies. By promoting collaboration among things and human beings, it facilitates plenty of social applications and services. The IoT enables the development of smart services in multiple fields like healthcare, logistics, and traveling. Benefiting from the pervasive IoT devices in diverse applications such as manufacturing and transportation, a variety of data can be collected. However, the computation-intensive and latency-sensitive data may be inefficiently executed by IoT devices due to the restricted computing resources [3].

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References

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