入侵检测中贝叶斯分类器改进的研究

Improved Bayesian Classifier of Intrusion Detection

介绍了一个改进的贝叶斯分类器,其中利用了滑动窗口技术改善入侵检测的实时性能和可控制性能。同时在入侵检测的结构中引入一个性能调节器,它可以动态调整系统参数,提高系统的运行性能,使系统成为一个自动的、有意识的安全系统。

Introduces an improved Bayesian classifier, which uses the skipping window technology to reform the rcaction time and facilitate the control of the intrustion detection system. Furthermore,adopt a performance adjuster in the IDS.which can dynamically adjust the systern pararoeters to reform the running performance of the IDS, that make the IDS, to be an automatic, conscious security system.