摘要
针对检测率和检测速度是入侵检测系统最关心的两大技术指标问题。检测系统内部安全组件之间的互动性对于检测率和检测速度也有很大的影响。为提高系统内部安全组件间的互动性,多元化入侵检测技术采用了基于半监督主学习、防火墙技术和CORBA技术相结合的多元技术,并设计出多元化入侵检测模型。技术的多元性和系统内安全组件间的互动性,使系统内各安全组件不再孤立运作,相互的协调工作不但提高了检测率和检测速度,而且降低了误检率,经实验验证了多元化入侵检测技术的有效性。
Both the rate and speed of detection of intrusion detection system are most important to the technical indicators. The interaction of Detection System＇s internal security components has great influence on the rate and speed. For that, according to semi - supervised active learning, firewall technology and CORBA technology, this paper proposes multi - intrusion detection Technology and the design of Multi - Intrusion Detection Model. Multi - technologies and the interaction among system internal security components will not only improve the detection rate and the speed of detection, but also reduce error rate. At last, the effectiveness of Multi - intrusion detection technology is verified.
出处
《计算机仿真》
CSCD
北大核心
2009年第11期141-144,共4页
Computer Simulation
基金
江苏省教育厅
江苏科技大学资助课题(2005DX006J)
