Litcius/Paper detail

An Edge-Driven Security Framework for Intelligent Internet of Things

Minghui Dai, Zhou Su, Ruidong Li, Yuntao Wang, Jianbing Ni, Dongfeng Fang

2020IEEE Network30 citationsDOI

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.

Topics & Concepts

Computer scienceEdge computingEnhanced Data Rates for GSM EvolutionInternet of ThingsCloud computingComputer securityEdge deviceTelecommunicationsOperating systemNetwork Security and Intrusion DetectionIoT and Edge/Fog ComputingAdvanced Malware Detection Techniques