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An Edge-Driven Security Framework for Intelligent Internet of Things

  • Minghui Dai
  • , Zhou Su
  • , Ruidong Li
  • , Yuntao Wang
  • , Jianbing Ni
  • , Dongfeng Fang
  • Shanghai University
  • Japan National Institute of Information and Communications Technology
  • Xi'an Jiaotong University
  • Queen's University Kingston
  • California Polytechnic State University

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

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.

Original languageEnglish
Article number9199790
Pages (from-to)39-45
Number of pages7
JournalIEEE Network
Volume34
Issue number5
DOIs
StatePublished - 1 Sep 2020
Externally publishedYes

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