基于Elman神经网络的网络安全态势预测方法
尤马彦;凌捷;郝彦军
【期刊名称】《计算机科学》 【年(卷),期】2012(039)006
【摘要】准确把握网络系统的安全态势,能够为网络管理者做出安全防护的决策提供有效的信息.在评估当前网络安全态势的基础上,利用加权后得到的网络安全态势值的非线性时间序列的特点,提出了一种基于Elman神经网络的态势预测方法,它利用Elman网络具有动态记忆功能和对历史数据具有敏感性等优点,对网络安全态势进行预测.通过实验仿真表明,该方法能够准确有效地预测网络安全态势.%Grasping the security situation of network system accurately, which can provide effective information, helps network managers to make security decisions. Based on the assessment of current network security situation, using the feature of nonlinear and time series, this paper presented a method of networks security situation prediction, based on Elman neural network, with the advantages of dynamic memory of Elman network and sensitivity of historical data,etc, to predict the network security situation. Finally, experiment shows that networks security situation can be effectively and accurately predicted with this method. 【总页数】4页(61-63,76)
【关键词】网络安全态势评估;态势预测;Elman神经网络 【作者】尤马彦;凌捷;郝彦军
基于Elman神经网络的网络安全态势预测方法
