基于大数据融合算法的DNS日志分析系统

DNS log analysis system based on big data fusion algorithm

总结了目前行业对于DNS日志的大数据分析存在的问题,并设计了一种基于大数据融合算法的DNS日志分析系统,该系统融合了备案信息库、网站库、域名库、IP地址库、CNAME域名库以及安全信息库六大信息库数据,具有强大的日志分析性能,分析内容范围全面,分析深度高,同时具有灵活的报表定制功能,为电信运营商提高管理效率、优化网络安全、提升本网率提供决策依据。

The existing problems of big data analysis of DNS logs in the current industry were summarized,and a DNS log analysis system based on big data fusion algorithm was designed.The system integrates six information databases,such as record information database,website database,domain name database,IP address database,CNAME domain name database and security information database.It has powerful log analysis performance,comprehensive content analysis,and classification.With high analysis depth and flexible report customization function,it can provide decision-making basis for telecom operators to improve the management efficiency,optimize network security and enhance the network rate.