基于数据垂直分布的模糊关联规则入侵检测算法研究

把基于数据垂直分布的模糊关联规则挖掘算法引入到网络的入侵检测,利用该算法从网络数据集中对采集到的数据进行模糊化的处理,并将数据垂直分布于位图中.利用k-means聚类算法建立属性的模糊集和模糊隶属函数,该算法克服了传统的离散分区法的不足,同时改进了已有模糊关联规则,提取出具有较高可信性和完备性的模糊关联规则.

Detection Based On Vertical Data

This paper employs fuzzy association rules based on vertical data to intrusion detection of network,and uses this algorithm for complying with the data from network,and makes it into fuzzification.The data of vertical distribution are put into a bitmap.Making use of K-means cluster algorithm to build blurred collection and function.This algorithm not only overcomes the deficiency of the traditional discrete segmentation method,but also improves fuzzy association rules and provides highly effective fuzzy rules.