Research on Network Crime and Security Strategy Based on K-means Cluster Analysis Model

Cyber security is one of the important issues in global territorial governance, which concerns the security, stability, economic development and public interests of a country and even the whole world. This paper mainly studies the distribution pattern of global cybercrime and establishes the index system of global cybercrime index (GCI). According to the entropy weight method, the top three countries in the global cybercrime index are Indonesia, Tunisia and Nigeria. Countries with an index size above 3.50 are divided according to different geographical characteristics, and the regions with a high proportion of global cybercrime index are Europe, the Pacific region, the tropical region, the Eastern Hemisphere and the coastal region. The K-means cluster analysis model is established, and it is concluded that the countries with high density of cyber crimes include Indonesia, Tunisia, Nigeria, etc. Countries with high success rates include the United States, Switzerland, Serbia, etc. Countries with high rates of reported cybercrime incidents include Albania, Argentina and Armenia. Countries with high litigation rates include Panama, South Korea and Lithuania. The global distribution of cybercrime presents a relatively common pattern, which requires countries to prevent and improve laws and policies in different regions.