一种改进的基于数据挖掘的网络入侵算法

An Improved Network Intrusion Algorithm Based on Data Mining

入侵检测系统作为一种主动的信息安全防御措施,有效地弥补了传统安全防护技术的不足,利用数据挖掘善于从大量数据中提取有用规则的特点,提出了一种改进的FP-Growth关联分析算法的网络入侵检测防御系统模型,该方法可以极大地提高数据挖掘的速度和节省数据挖掘中数据存储的空间。

As a kind of active securety defence measure, Intrusion Detection System acts as the effective complement to traditional protection techniques and takes a significant part in security. Data mining can extract the knowledge from a large number of data. In view of this, this paper proposes an Intrusion Detection System model based on the improved FP-Growth algorithm, which greatly improve the speed of data mining and save the storage space of data.