An Exploration of Network Security Based on Entropy Weight Method and Fuzzy Comprehensive Evaluation Modeling

Abstract

This paper focuses on cybercrime characteristics and cybersecurity assessment, with the aim of understanding the global distribution of cybercrime and conducting modeling analysis. In terms of research methodology, data on cybercrime rates, frustration rates, success rates, reporting rates and prosecution rates of many countries and regions such as the U.S., China and the U.K. are collected; entropy weighting method (EWM) is used to calculate social coefficients and analyze the relationship between socio-economic factors and crime rates; and fuzzy comprehensive evaluation model is used to establish a comprehensive evaluation model for cybersecurity. The strengths of the study are that it reveals the characteristics of cybercrime in different countries and regions in a more comprehensive way through multifaceted data and models, and the model constructed can comprehensively assess the cybersecurity situation of each country, and the reliability of the model is verified by sensitivity analysis, which makes it clear that the policy score and the social score have a greater impact on the cybercrime rate.