节点文献
数据挖掘理论在安全审计分析中的应用
The Application of Data Mining Theory in Security Audit Analysis
【摘要】 本文利用数据挖掘中的分类、关联规则和聚类等技术,完成了对系统审计数据的分析、分类规则的学习及入侵模型的建立,实现了对入侵攻击及系统异常行为的检测。通过对测试结果的分析,验证了将数据挖掘理论融入安全审计分析是可行和有效的。
【Abstract】 This paper uses the classification, the connection rule and cluster and so on the technology in the data mining, has completed to the system audit data analysis, establish model of the classified rule study and the invasion, realized the behavior examination to the invaded attack and the system exception. Through the tests and the analysis result, confirmed using the data mining theory to the security audit analysis is feasible and effective.
【关键词】 安全审计;
入侵检测;
数据挖掘;
分类;
【Key words】 Security audit; Intrusion Detection; Data mining; classified;
【Key words】 Security audit; Intrusion Detection; Data mining; classified;
【基金】 国家自然科学基金(60272018)
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2007年27期
- 【分类号】TP311.13
- 【被引频次】13
- 【下载频次】227