Analysis of global cybercrimes using the fuzzy analytic hierarchy process and multiple regression model summary
Yanan Song
Xi’an Eurasia College Yulin
Xirui Jin
Xi’an Eurasia College Yulin
DOI: https://doi.org/10.59429/esta.v12i1.9663
Keywords: Cybercrime; Fuzzy analytic hierarchy process; Multiple regression analysis; Policy evaluation
Abstract
The popularization of the Internet has promoted globalization, but it has also increased the risk of cybercrime. Cybercrime is difficult to combat due to its cross - border nature, and many institutions choose not to disclose attack incidents to avoid damage to their reputations. To address this challenge, countries have formulated cybersecurity policies, while the International Telecommunication Union (ITU) plays a leading role in setting standards, promoting cooperation, and assessing global cybersecurity. After researching this issue, our team believes that the core of the problem should focus on three aspects: the distribution and pattern recognition of global cybercrime, the evaluation of policy effectiveness, and the correlation analysis of demographic data. Therefore, this paper analyzes the core issues based on VCDB data and provides effective suggestions for the development and improvement of national cybersecurity policies and laws.
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