基于数据挖掘的入侵检测系统的设计与实现 基于数据挖掘的入侵检测系统的设计与实现-Based on Data Mining Intrusion Detection System Design and Implementation Based on Data Mining Intrusion Detection System Design and Implementation

关联规则挖掘的研究工作主要包括：Apriori算法的扩展、数量关联规则挖掘、关联规则增量式更新、无须生成候选项目集的关联规则挖掘、最大频繁项目集挖掘、约束性关联规则挖掘以及并行及分布关联规则挖掘算法等，其中快速挖掘与更新频繁项目集是关联规则挖掘研究的重点，也是多种数据挖掘应用中的技术关键，已用于分类规则挖掘和网络入侵检测等方面的研究。研究者还对数据挖掘的理论进行了有益的探索，将概念格和粗糙集应用于关联规则挖掘中，获得了显著的效果。到目前为止，关联规则的挖掘已经取得了令人瞩目的成绩，包括：单机环境

Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems (IDS) have been employ

There are two main approaches for implementing IDS Host based and Network based. While the former is implemented in form of software deployed on a host, the latter, usually is built as a hardware product with its own hardware platform (IDS applia