This paper presents a model of database intrusion detection system, which USES data mining on the audit data in database systems to derive user profiles that describe normal behavior of users.
提出了一种数据库入侵检测模型,利用该模型对数据库审计信息进行挖掘,以发现代表合法用户典型行为的用户轮廓。
Network intrusion detection module will analyze the package from data packet capture modules and combine network intrusion rule database, and then transmit the results to the system management module.
入侵检测模块将根据网络数据包捕获模块上接收到的包并结合网络入侵规则库进行分析,把分析的结果传递给系统管理模块。
The impact of DIPS on database system and its intrusion detection and prevention is tested and analyzed.
这些工作大大提高了数据库入侵防护系统的实用性,为进一步的研究工作奠定了良好的基础。
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