工业互联网中的安全通信和数据处理挑战

A. Gurtov, Madhusanka Liyanage, D. Korzun
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引用次数: 29

摘要

预计下一次工业革命将随着即将到来的工业互联网而发生,工业互联网将工业传感器收集的大量数据与数据分析相结合,以提高运营效率。这些实时数据的采集、预处理、存储和分析是一项复杂的任务,对通信智能、QoS和安全性都有严格的要求。在本文中,我们概述了工业互联网面临的一些挑战,即与5G无线网络的集成,软件定义机器,数字传感器数据的所有权和智能处理。提出了一种基于智能空间和虚拟专用局域网服务的工业互联网安全通信架构。这是一份立场文件,描述了工业互联网的最新技术和未来研究的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Communication and Data Processing Challenges in the Industrial Internet
The next industrial revolution is foreseen to happen with upcoming Industrial Internet that combines massive data collected by industrial sensors with data analysis for improving the efficiency of operations. Collecting, pre-processing, storing and analyzing such real-time data is a complex task with stringent demands on communication intelligence, QoS and security. In this paper we outline some challenges facing the Industrial Internet, namely integration with 5G wireless networks, Software Defined Machines, ownership and smart processing of digital sensor data. We propose a secure communication architecture for the Industrial Internet based on Smart Spaces and Virtual Private LAN Services. It is a position paper, describing state-of-the-art and a roadmap for future research on the Industrial Internet.
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