Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm

Author:

Chang Jie1ORCID,Zuo Xiaojun1,Hou Botao1,Shi Lipeng1,Zhang Guanghua2

Affiliation:

1. State Grid Hebei Electric Power Research Institute, Hebei Province, Shijiazhuang 050021, China

2. School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050021, China

Abstract

This paper analyzes the current real-time monitoring system based on grey-related IoT security sensors for the detection of risk factors in the production environment of the Internet of Things and proposes a design plan for the Internet of Things environment monitoring based on the grey-related Internet of Things security sensor network, and according to the reliability guarantee mechanism of the system, a three-dimensional uniform IoT node deployment method suitable for IoT security monitoring is proposed. Based on the grey correlation analysis, it can provide a quantitative measurement analysis for the development and change state of a system, which is very suitable for the analysis of dynamic operating systems. As a real-time dynamic system of the Internet of Things, the use of grey correlation method to analyze its network security status has good operability and practical value. According to the multisource information processing technology, the monitoring data are preprocessed by dynamic limiting filtering, and then the data are fused at the data level with the optimal weighting algorithm. Through the use of grey correlation analysis to quantify the relative impact of cyberattacks on the network within a certain period of time, the quantitative assessment of the security environment and status of the entire network is realized. Finally, the characteristics of grey relational analysis and rough set theory attribute reduction are used to form the basis of grey correlation decision-level fusion algorithm, to achieve effective processing of the data of the Internet of Things security monitoring system.

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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