A New Perspective on Cybersecurity Protection: Research on DNS Security Detection Based on Threat Intelligence and Data Statistical Analysis

Abstract

With the rapid development of the Internet, the network security problem is increasingly prominent, especially the DNS security. Traditional security protection methods have struggled to cope with increasingly complex cyber threats. Therefore, this study aims to explore the DNS security detection method based on threat intelligence and data statistical analysis, to provide a new perspective for cybersecurity protection. Through the deep analysis and mining of a large amount of DNS traffic data, combined with threat intelligence, an effective DNS security detection model is constructed. The experimental results show that this method can accurately identify malicious DNS requests, and timely warning, effectively improve the DNS security protection ability. This study not only provides a new idea for DNS security detection, but also provides a useful reference for data analysis and threat intelligence applications in the field of network security.