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计算机系统应用:2020,29(9):260-265
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面向智能产线的R-ECC身份认证方法
(1.中国科学院大学, 北京 100049;2.中国科学院 沈阳计算技术研究所, 沈阳 110168)
R-ECC Identity Authentication Method for Intelligent Manufacturing Line
(1.University of Chinese Academy of Sciences, Beijing 100049, China;2.Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China)
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投稿时间:2020-02-18    修订日期:2020-03-17
中文摘要: 在智能制造与“工业4.0”环境下,智能产线作为智能制造的重要载体,在其智能运维、状态监控与数据采集方面具有较高研究意义.本文针对工业物联网智能产线中,基于Android的智能产线移动终端与OPC UA服务器通信过程中存在的通信资源受限、数据传输安全性要求高等问题,在现有OPC UA通信模型的基础上,设计了一种面向智能产线移动终端的身份认证方法R-ECC (Random-Elliptic Curve Cryptography).该方法在认证过程中引入了随机数和椭圆密码体制,在提高OPC UA身份认证安全性的同时,降低了通信资源的消耗量.实验结果表明,面向智能产线的R-ECC身份认证方法可以有效提高身份认证过程的安全性,在降低智能产线移动端硬件资源消耗量的同时加快了身份认证速度.
Abstract:In the environment of intelligent manufacturing and “Industry 4.0”, the intelligent manufacturing line as an important carrier of intelligent manufacturing has high research significance in its algorithmic IT operations, condition monitoring, and data acquisition. This article designs an identity authentication method called R-ECC (Random-Elliptic Curve Cryptography) for the mobile terminal of intelligent manufacturing line, which is based on the security model provided by OPC UA. The method addresses the problems of limited communication resources and high security requirement of data transmission in the process of communication between an Android-based mobile terminal and OPC UA server. This method introduces random numbers and elliptic curve cryptography in the authentication process, which improves the security of OPC UA identity authentication and reduces the consumption of communication resources in the same time. The experimental results show that the R-ECC identity authentication method for the mobile terminal of intelligent manufacturing line can effectively improve the security of the authentication process, reduce the hardware resource consumption of the mobile terminal, and accelerate the speed of identity authentication.
文章编号:7603     中图分类号:    文献标志码:
基金项目:国家重点研发计划(2017YFE0125300);辽宁省“兴辽英才计划”(XLYC1802112)
引用文本:
杨东升,高珊珊,尹震宇,李明时,柴安颖,廉梦佳.面向智能产线的R-ECC身份认证方法.计算机系统应用,2020,29(9):260-265
YANG Dong-Sheng,GAO Shan-Shan,YIN Zhen-Yu,LI Ming-Shi,CHAI An-Ying,LIAN Meng-Jia.R-ECC Identity Authentication Method for Intelligent Manufacturing Line.COMPUTER SYSTEMS APPLICATIONS,2020,29(9):260-265

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