复杂网络主动式入侵病毒扩散预测模型

Prediction model of active intrusion virus spread in complex networks

为了提高复杂网络入侵病毒扩散的预测精度,提出了复杂网络主动式入侵病毒扩散预测模型.引入Deep Belief Nets理论定义了复杂网络主动式攻击行为;通过计算复杂网络主动式入侵因子,描述了复杂网络主动式入侵的具体情况,估计了复杂网络主动式入侵病毒扩散过程;以评估结果为依据,构建了复杂网络主动式入侵病毒扩散预测模型,实现了复杂网络主动式入侵病毒扩散的预测.实验结果表明,该预测模型精确度较高,时间效率较高,预测误差较低.

In order to improve the prediction accuracy of complex network intrusion virus spread,a complex network active intrusion virus spread prediction model is proposed.The active intrusion virus spreading process in complex network is estimated through the DBN(deep belief nets)theory which is introduced to define the active attack behavior of complex networks.By calculating the active invasion factor of complex network,and the specific situation of active invasion of complex network is described.The prediction model of active intrusion virus spread in complex networks is constructed based on the evaluation results,it realizes the prediction of active intrusion virus spread in complex networks.The experimental results show that the prediction model has high accuracy,high time efficiency and low prediction error.