采用数据挖掘技术的数据库审计系统  

Data Mining Approaches for Database Audit System

作　　者：袁曼丽[1] 宋考[1] 陈高琳[1] 

机构地区：[1]福建师范大学数学与计算机学院

出　　处：《中国新通信》2008年第17期61-64,共4页China New Telecommunications

摘　　要：针对传统数据库审计系统分析预警能力不强的状况,本文设计了一个新型的基于数据挖掘技术的数据库审计系统。系统利用数据挖掘技术中的关联和聚类算法,完成用户行为模式的规则总结,实现了对用户异常行为的自适应入侵检测。As conventional database audit systems are short of the capability of information analysis and attack prediction, a novel database audit system based on data mining was presented. The association rule mining and the cluster algorithm were applied to this system, in order to find the user behavior modes. Based on the discovered rules, the user anomaly behaviors can be self-adaptive intrusion detected.

关 键 词：数据挖掘 审计 关联规则 聚类 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP393.08[自动化与计算机技术—计算机科学与技术]