Affiliations: School of Information Engineering, Lianyungang Technical College, Lianyungang, Jiangsu, China | E-mail: 15351868768@163.com
Correspondence:
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Corresponding author: School of Information Engineering, Lianyungang Technical College, Lianyungang, Jiangsu, China. E-mail: 15351868768@163.com.
Abstract: With the rapid development of the economy, the power supply has also shown an increasing trend year by year, and many loopholes and hidden dangers have emerged during the operation of the power grid. The power grid may be subject to malicious attacks, such as hacker attacks, power theft, etc. This may lead to security risks such as power grid system paralysis and information leakage. In order to ensure the quality of power supply, it is necessary to optimize the distribution of electricity and improve power supply efficiency. This article pointed out the security performance issues of power Internet of Things (IoT) terminals and analyzed the design and implementation of a vulnerability mining system for power IoT terminals based on a fuzzy mathematical model simulation platform. This article used a fuzzy mathematical model to quantitatively evaluate the security performance of power IoT terminals, providing an effective theoretical basis for vulnerability mining. Based on the analysis of vulnerability mining technology classification and vulnerability attack process, this article characterizes vulnerability parameters through fuzzy mapping. Based on the collected vulnerability data and the online and device status of power IoT terminals, fuzzy logic inference is used to determine and mine potential vulnerability issues in power IoT terminals. This article aimed to improve the security performance of power IoT terminals and ensure the safe and stable operation of the power system. By testing the number of system vulnerabilities, vulnerability risk level, and vulnerability mining time of the power IoT terminal vulnerability mining system based on fuzzy mathematical models, it was found that the power IoT simulation platform based on fuzzy mathematical models has fewer terminal vulnerabilities. The fuzzy mathematical model can reduce the vulnerability risk level of the power IoT simulation platform system, and the time required for vulnerability mining was reduced; the time was reduced by 0.48 seconds, and the speed of vulnerability mining was improved. Fuzzy mathematical models can promote the development of the power industry, which provides strong support for the security protection of power IoT terminals.
Keywords: Power simulation platform, Internet of Things terminals, vulnerability mining systems, fuzzy mathematical model, fuzz test, fuzzy logic
