Author(s)

ZiHan Jin

Affiliation(s)

Hohai University, Nanjing 210000, Jiangsu, China.

Corresponding Author

ZiHan Jin

ABSTRACT

The Internet is indispensable for everyone, but with its rapid development, the accompanying problem of cybercrime has gradually become a significant challenge that countries worldwide must face. In order to assist countries in formulating better policies and establishing effective cybersecurity models, this study conducts an in-depth analysis of the effectiveness of existing policies from multiple dimensions, based on the GCI scoring mechanism. The research involved the collection of substantial data related to cybercrime, leading to the creation of heat maps depicting the number of cybercrime cases, the GCI scoring level, and the prosecution rates of cybercrime cases. The analysis and comparison of these graphs revealed that developed countries in Europe and the United States are the primary targets of cybercrime and have a high probability of sanctioning such crimes. Additionally, a ridge regression model was established based on the demographic characteristics of each country to examine the relationship between cybercrime cases and factors such as GDP, population size, Internet penetration rate, education penetration rate, and policy implementation environment. The coefficients for these factors were found to be 1. 22, 0. 54, 2. 55, -1. 46, and -0. 45, respectively, with population size being the most influential factor in the number of cybercrime cases. A sensitivity analysis further confirmed this finding. The study also classified the cybersecurity policies of various countries based on the five dimensions of the GCI and used a Difference-in-Differences (DID) model to evaluate the effectiveness of these policies. The results revealed that the most effective policy types differ across countries. International cooperation proved most effective in less developed countries, lawmaking in developing countries, and technological upgrading in developed countries. 

KEYWORDS

Cybercrime; Cybersecurity; Ridge regression model; GCI; DID model

CITE THIS PAPER

ZiHan Jin. Quantitative assessment and comparative study of national cybersecurity posture based on global cybersecurity index. World Journal of Information Technology. 2025, 3(4): 34-45. DOI: https://doi.org/10.61784/wjit3051.

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