数据挖掘技术在网络入侵检测中的应用

Application of Data Mining Technology in Network Intrusion Detection

在大数据时代,随着计算机网络技术的全面发展,网络安全问题备受关注。入侵检测技术的日趋成熟,已经从简单的静态安全检测发展到动态安全检测,并在计算机安全防护领域占有一席之地。数据挖掘技术在智能获取海量数据中的可用信息领域具备明显优势。本文将相关技术引入到入侵检测中,大幅度提高了入侵检测的效率,并实现了智能化。

In the era of big data,with the all-round development of computer network technology,network security issues have attracted much attention.Intrusion detection technology has matured day by day,and it has developed from simple static security detection to dynamic security detection,and occupies a place in the field of computer security protection.Data mining technology has obvious advantages in the field of intelligently acquiring information available in massive data.This article introduces related technologies into intrusion detection,which greatly improves the efficiency of intrusion detection and realizes intelligence.