A RMF and AHP- Based Approach to Risk Assessment of Power Internet of Things

被引：1
|
作者：
Li, Kunchang [1 ]
Shi, Runhua [1 ]
Yan, Jingchen [1 ]
Cai, Chenxi [1 ]
Sun, Mingyu [1 ]
Li, Jianbin [1 ]
机构：
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
来源：
2020 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH) | 2020年
基金：
中国国家自然科学基金;
关键词：
power Internet of Things; RMF; AHP; risk assessment; cyberspace security;
D O I：
10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00117
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the development of the power Internet of Things, it has countless sensing terminals, complex information communication channels, and huge data storage and processing centers. The risk assessment of power Internet of Things is crucial to the cyberspace security. In this paper, firstly, the architecture of power Internet of Things and RMF is investigated. RMF is applied to the risk assessment of power Internet of things for the first time. Secondly, a risk assessment method of power Internet of Things based on RMF and improved AHP is proposed, in which we introduce RMF and combine improved AHP to analyze the risk and threat of power Internet of Things. Accordingly, the risk value is obtained, which can be used as the basis of the decision, authorize and monitor of power Internet of Things. Finally, a simple scenario of the power Internet of Things is simulated to verify our risk assessment method. The simulated results show that our risk assessment method can be dynamically implemented in the power Internet of things.
引用
收藏
页码：684 / 689
页数：6
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