Research on Computer Network Information Security Protection Based on the Clustering Algorithm for Large Data

Abstract

The continuous development of modern technology has gradually changed the way computers transmit information. Network information is in a world of mobile information transmission. While large data brings convenience to human beings, it also faces greater security risks. Therefore, this paper proposed a computer network information security protection system based on the large data clustering algorithm, which can solve the complex cross-linking relationship effectively. The author also used simulation experiments to verify this algorithm. The results show that this method is consistent with the non-linear characteristics of computer network security, and can improve the security protection level of computer network information. The computer network information security protection system based on the large data clustering algorithm is an important development in the field of network security. Its ability to address the complex cross-linking relationships that exist within a network, and to effectively detect and prevent cyber attacks, makes it a valuable tool in improving the security of network information.