神经网络的网络平台安全态势感知研究  

Research on security situational awareness of network platform based on Neural Network

作　　者：孙会儒[1] Sun Huiru(Xi＇an Railway Vocational ＆ Technical lnstitute,Xi ＇an,71001)

机构地区：[1]西安铁路职业技术学院,陕西西安710014

出　　处：《现代科学仪器》2018年第1期136-138,159,共4页Modern Scientific Instruments

摘　　要：面对现今严重的的网络安全问题，文章运用BP神经网络技术，对用户网络安全态势进行评估，并根据网络态势感知中的预测精度，提出了基于广义RBF神经网络的网络安全态势预测方法，得到网络态势值的非线性映射关系，实现网络平台安全态势感如与预测，并在实验验证基础上，证明了该方法在网络安全态势感知与预测中的准确性，可以有效提高网络安全的主动安全防护能力。Nowadays the serious network security problems, the application of BP neural network technique to evaluate user network security situation, and according to the prediction accuracy of network situational awareness of network security situation prediction method based on generalized RBF neural network is proposed, by nonlinear mapping relationship network situation value, realization of perception and prediction network security situation, and on the basis of the experiment, proved the accuracy of the method in perception and prediction in network security situation, can effectively improve the active safety protection network security.

关 键 词：BP神经网络 广义RBF神经网络 安全态势感知 实验 

分 类 号：TP309[自动化与计算机技术—计算机系统结构] TP393[自动化与计算机技术—计算机科学与技术]