Security Risk Analysis Model for Identification and Resolution System of Industrial Internet

doi:10.12142/ZTECOM.202001008

ZTE Communications ›› 2020, Vol. 18 ›› Issue (1): 49-54.doi: 10.12142/ZTECOM.202001008

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Security Risk Analysis Model for Identification and Resolution System of Industrial Internet

MA Baoluo, CHEN Wenqu, CHI Cheng()

Institute of industrial Internet and Internet of Things, China Academy of Information and Communications Technology, Beijing 100191, China

Received:2019-12-01 Online:2020-03-25 Published:2020-06-15
About author:MA Baoluo received the B.S. and M.S. degrees in information and communication engineering from Xinjiang University， China in 2013 and 2016 respectively. He is currently a researcher of Institute of industrial Internet and Internet of things, the China Academy of Information and Communications Technology. His research interests mainly include identification and resolution security of industrial Internet and network security. He has published severa papers in various journals and conferences in the field of industrial Internet and network security.|CHEN Wenqu received the Ph.D. degree in mechanical engineering from the University of Sheffield in 2015. She is currently a researcher of Institute of industrial Internet and Internet of things, the China Academy of Information and Communications Technology. Her research interests mainly include identification and resolution of the industrial Internet, digital manufacturing, and digital twin. She has published five papers in various journals and conferences.|CHI Cheng (chicheng@caict.ac.cn) received the B.S. degree in electronic information engineering from Nanjing University of Posts and Telecommunications, China in 2013, and M.S. degree in electronic technology from the University of Sheffield in 2016. He is currently a deputy director of Institute of industrial Internet and Internet of things currently, the China Academy of Information and Communications Technology. His research interests mainly include identification and resolution security of the industrial Internet, as well as industrial Internet architecture. He has published several white papers in the field of the industrial Internet.
Supported by:
the 2018 Industrial Internet Innovation and Development Project —— Industrial Internet Identification Resolution System: National Top-Level Node Construction Project (Phase I)

Abstract

Abstract:

Identification and resolution system of the industrial Internet is the “neural hub” of the industrial Internet for coordination. Catastrophic damage to the whole industrial Internet industry ecology may be caused if the identification and resolution system is attacked. Moreover, it may become a threat to national security. Therefore, security plays an important role in identification and resolution system of the industrial Internet. In this paper, an innovative security risk analysis model is proposed for the first time, which can help control risks from the root at the initial stage of industrial Internet construction, provide guidance for related enterprises in the early design stage of identification and resolution system of the industrial Internet, and promote the healthy and sustainable development of the industrial identification and resolution system.

Key words: industrial Internet, identification and resolution system, security risk analysis model

MA Baoluo, CHEN Wenqu, CHI Cheng. Security Risk Analysis Model for Identification and Resolution System of Industrial Internet[J]. ZTE Communications, 2020, 18(1): 49-54.

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References 7

1	DOLEZEL D, MCLEOD A. Managing Security Risk Modeling the Root Causes of Data Breaches [J]. Health Care Manager, 2019, 38(4): 322–330. DOI: 10.1097/HCM.000000000000282 doi: 10.1097/HCM.000000000000282
2	HUANG K, KONG N. Research on Status of DNS Privacy [J]. Computer Engineering and Applications, 2018, 54(9): 28–36. DOI: 10.3778/j.issn.1002⁃8331.1801⁃0101 doi: 10.3778/j.issn.1002?8331.1801?0101
3	XU K, ZHAO Y D, CHEN W L, et al. Paradigm⁃Based Routing & Switching System for Data Interception Attacks [J]. 2017, 40 (7): 1649–1656. DOI: 10.11897/SP.J.1016.2017.01649 doi: 10.11897/SP.J.1016.2017.01649
4	DAI F F, Fan X H, CUI X F, et al. Analysis on Typical Application Architecture Security Risk and Countermeasures of Blockchain [J]. Information and Communications Technologies, 2018, 12(6): 51–59
5	GROTHOFF C, WACHS M, ERMERT M, et al. Toward Secure Name Resolution on the Internet [J]. Computers & Security, 2018, 77: 694–708. DOI: 10.1016/j.cose.2018.01.018 doi: 10.1016/j.cose.2018.01.018
6	ZHENG Y W, WEN H, CHENG K, et al. A Survey of IoT Device Vulnerability Mining Techniques [J]. Journal of Cyber Security, 2019, 4(5): 61–73. DOI: 10.19363/J.cnki.cn10⁃1380/tn doi: 10.19363/J.cnki.cn10?1380/tn
7	Standardization Administration of the People’s Republic of China. Information Security Technology⁃Data Security Capability Maturity Model: GB/T37988⁃2019 [S]. 2019

Identity Category	Specific Identity	Risk Points
People	Administrator for identification data	Identity deception; unauthorized access; authority chaos
	User
	Administrator for identification
	Third party supervisor
Machines	International root node	Identity deception; device vulnerability
	National top level node
	Secondary node
	Enterprise node
	Recursive resolution node
	Industrial client
Objects	Industrial Internet terminal	Identity deception; false correlation between identification and product; device vulnerability

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Security Risk Analysis Model for Identification and Resolution System of Industrial Internet

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