基于云计算的模糊规则挖掘算法在入侵检测中的应用  

Fuzzy Mining Algorithm for Rules Based on Cloud Computing in Intrusion Detection

作　　者：魏德志[1] 吴旭[1] 林丽娜[1] 王奇光[1] 

机构地区：[1]集美大学诚毅学院,福建厦门361021

出　　处：《吉林师范大学学报（自然科学版）》2012年第1期115-118,共4页Journal of Jilin Normal University:Natural Science Edition

基　　金：福建省仿脑智能系统重点实验室开放课题项目(BLISSOS2010103)

摘　　要：提出了一种基于云计算的模糊规则挖掘算法的入侵规则检测方法.以模糊集理论为基础,提出了在入侵关联规则挖掘中将特征属性模糊集作为单一属性来处理的模糊规则挖掘算法,有效地解决入侵规则中出现不相关规则和"尖锐边界"等问题.在云计算平台上进行算法的验证,利用云计算平台可进行大规模计算和数据处理的特点,得出该思想在入侵检测具有较好的应用效果和前景.The paper proposed a intrusion detection method that fuzzy mining algorithm for rules based on cloud computing. Based on fuzzy set theory, proposed for mining association rules in the invasion properties of fuzzy sets will feature as a single property to handle the fuzzy rules mining algorithm, that is a effective solution to the rule that there is no invasion of the relevant rules and the ＂sharp boundary＂ issues. In the cloud computing platform for the validation algorithm, with the features of large-scale computing and data processing on cloud computing platform, the ideas in intrusion detection obtained good results and prospects of application.

关 键 词：云计算 入侵检测 模糊规则 数据挖掘 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]