规则检测下基于虚拟机运行的神经网络入侵检测模型研究

A nerve net invading detect model research based on inerratic detect by virtual machine running

目前进行研究的用于入侵检测的各种神经网络仍存在一些结构性的缺点,本文在分析这些缺点的基础上,提出了规则检测下基于虚拟机运行的神经网络入侵检测模型SA_NNIDS。通过构建虚拟机对入侵数据进行转化提取,以SNORT检测结果对神经网络进行训练,综合利用异常检测和误用检测模式,双系统运行,综合提高了检测效率。为神经网络在其实际产品中的应用提供了可能,并为神经网络在其他安全产品中的使用提供了思路。

At present, the researched various verve net used for invading detect have some structural shortcoming. This article analyzed the shortcoming and has put forward a nerve net invading detect model based on inerratic detect by virtual machine running(SA_NN IDS),which designed a virtual machine for the invading data to transform and distill. To improve the effect, the model made a educate for the nerve net by the SNORT detect result, and synthetically utilized abnormal detect and futility detect model. By the ...