基于数据挖掘技术的入侵检测系统

Intrusion Detection System Based on Data Mining Technology

在将数据挖掘技术应用到入侵检测系统中的基础上,针对网络入侵的实际特征,对传统的FP growth关联规则算法进行了改进,并引入关键属性约束来指导频繁模式的挖掘过程。改进的FP growth算法在挖掘规则过程中有效地降低了空间的损耗量,大大地提高了系统挖掘效率,从而指导系统挖掘出更有意义的频繁模式。

Based on the analysis of current intrusion detection technologies, this paper focused on the application of data mining technology to the intrusion detection system. Meanwhile, according to the practical characteristics of network intrusions, some improvements were made on the traditional FP-growth algorithm by adopting the restrictions of the key properties to guide the process of mining. The improved FP-growth algorithm noticeably increased the system efficiency in the process of mining, which can be profitable in discovering the more meaningful frequent patterns.