基于BP神经网络的网络安全态势预测研究

摘要

Proceeding from the safe operation of the network system,the data which can reflect the network safe operation is extracted in the intrusion detection system,antivirus software and other security methods. A set network security situation eva?luation system was established in the aspects of threat,vulnerability,risk and basic running of the network safe operation. The analytic hierarchy process is used to calculate the evaluation system to obtain the comprehensive safety indicator used to charac?ter the network security running state. The BP neural network is used to forecast the network security status on the basis of the system. The experimental results show that the BP neural network can predict the network security situation accurately,and has a certain reference value in the related research fields.%以网络系统安全运行作为出发点，从入侵检测系统和杀毒软件等安全手段中提取出可以反映网络安全运行的数据。从网络安全运行的威胁性、脆弱性、风险性和基础运行四个方面建立了一套网络安全态势评估体系。通过层次分析法对该评价体系进行计算，获得可以表征网络安全运行状态的综合安全指数。在该体系的基础上，利用BP神经网络对网络安全状态进行预测，实验结果表明，采用BP神经网络可以较好地对网络的安全态势进行预测，在相关研究领域有一定的借鉴价值。