AHP-TOPSIS-BASED ASSESSMENT FRAMEWORK FOR CYBERSECURITY POLICY EFFECTIVENESS: EMPIRICAL EVIDENCE FROM GCI INDICATORS

With the acceleration of global digitalization, cybercrime has exhibited transnational and covert characteristics, posing severe challenges to national cybersecurity. To scientifically evaluate the cybersecurity level of various countries and identify effective policy pathways, this study proposes a comprehensive evaluation model integrating the Analytic Hierarchy Process and Technique for Order Preference by Similarity to Ideal Solution. Based on the five pillars of the International Telecommunication Union Global Cybersecurity Index, an evaluation system comprising 15 sub-indicators is constructed. Indicator weights are determined through expert scoring, and the TOPSIS algorithm is employed to conduct quantitative ranking and grading of the cybersecurity levels of 27 countries. The results show that there is a significant positive correlation between cybersecurity level and comprehensive national strength. Technologically advanced countries such as Finland and the United States are rated as "Excellent", while less developed countries such as Zimbabwe fall into the "Weak" category. Furthermore, Pearson correlation analysis on U.S. cybercrime data and demographic characteristics reveals that internet usage, employment to population ratio of men aged 15-24 and GDP exhibit significant statistical associations with cybercrime incidence. This study provides a data-driven decision-making framework for policymakers to optimize cybersecurity strategies and verifies the core role of synergistic governance of law and technology.