Author(s)

Jiabao Guo, Xiang Gu, Yidi Yu, Mandi Wu, Mengfei Liu, Yue Liu, Huang Huang

Corresponding Author

Jiabao Guo

Abstract

This study investigates the global distribution of cybercrime and the effectiveness of cybersecurity policies using a comprehensive analytical framework. Cybercrime has become a significant global challenge, causing substantial economic losses and threatening information security worldwide. To address this issue, we employ the K-means clustering method to classify cybercrime data and reveal its geographical distribution patterns. Additionally, the Analytic Hierarchy Process (AHP) is utilized to construct the National Cybersecurity Index (NCI), which evaluates the effectiveness of cybersecurity policies in different countries. Our findings indicate that certain regions are more vulnerable to cybercrime due to factors such as economic conditions, internet penetration rates, and enforcement capabilities. Moreover, the study highlights the importance of policy quality and implementation in enhancing cybersecurity. The results provide valuable insights for policymakers to optimize cybersecurity strategies and improve policy effectiveness. This research contributes to the field by offering a systematic approach to understanding the complex relationship between cybercrime distribution and cybersecurity policies on a global scale.

Keywords

Cybercrime, Cybersecurity Policy, K-Means Clustering, Analytic Hierarchy Process, Global Distribution