一种改进的关联规则挖掘算法在入侵检测中的应用研究

为了解决网络入侵检测领域使用Apriori算法挖掘频繁模式效率不高、精度不够的问题,引入自适应步长跃进、动态修剪候选频繁项集的概念,提出一种新的改进关联规则挖掘算法,该算法较Apriori算法有比较明显的优势,可以广泛应用于大规模入侵检测数据库的关联规则挖掘中.

An Improved Algorithm for Mining Association Rules in the Application of Intrusion Detection

In order to solve the network intrusion detection field use Apriori algorithm frequent itemsets efficiency is not high,precision insufficient problems,this article introduces adaptive step jump,dynamic clip candidate frequent itemsets concept,put forward a new algorithm for mining association rules algorithm,the proposed algorithm is Apriori has obvious advantages,and can be widely used in large database of intrusion detection of association rule mining.