CAJ | 학술논문

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基于模糊关联规则挖掘的网络异常入侵检测研究
기우모호관련규칙알굴적망락이상입침검측연구
Study on the Network Intrusion Detection Based on Fuzzy Association Rule Mining

万方数据

计算机光盘软件与应用計算機光盤軟件與應用 계산궤광반연건여응용
COMPUTER CD SOFTWARE ADN APPLICATIONS
2011年 19期 66-66,63 ,共2页

李连焕李連煥

리련환

模糊集合%模糊关联规则%入侵检测模糊集閤%模糊關聯規則%入侵檢測
모호집합%모호관련규칙%입침검측
Fuzzy Sets%Fuzzy Association-Rules%Intrusion Detection

针对关联规则挖掘中存在的边界问题，研究了模糊关联规则挖掘算法，该算法用模糊集代替区间来处理多值属性。实验结果表明，利用模糊关联规则挖掘可以有效发现异常，提高了网络异常入侵检测的准确度。
침대관련규칙알굴중존재적변계문제，연구료모호관련규칙알굴산법，해산법용모호집대체구간래처리다치속성。실험결과표명，이용모호관련규칙알굴가이유효발현이상，제고료망락이상입침검측적준학도。
In order to solve the problem of boundary when compartmentalizing in association-rules mining,the application of fuzzy association-rules mining was researched.this algorithm uses fuzzy sets instead of intervals to handle multi-valued attributes.Experimental results show that the use of fuzzy association rules can effectively detect anomalies,improve network anomaly intrusion detection accuracy.