基于数据挖掘的数据库入侵检测系统的研究

Research on Database Intrusion Detection System Based on Data Mining

基于数据挖掘的数据库入侵检测系统模型运用数据挖掘方法,从审计记录中挖掘出用户的正常行为模式,完善滥用检测规则库,实现异常检测和滥用检测。

The article introduces a new model of Database Intrusion Detection System based on Data Mining, which uses the data mining to dig the right action model from the audit records. And it has improved the database of misuse detection rules and realized the anomaly detection and misuse detection.