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

作　　者：郑辉[1] ZHENG Hui(School of Computer and Art,Anhui Technical College of Industry and Economy,Hefei Anhui 230051)

机构地区：[1]安徽工业经济职业技术学院计算机与艺术学院,安徽合肥230051

出　　处：《宁夏师范学院学报》2021年第4期74-79,共6页Journal of Ningxia Normal University

基　　金：云计算技术与应用工匠工坊模式示范实习实训中心(2020sxzx04).

摘　　要：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.

关 键 词：复杂网络 主动式 网络入侵 病毒扩散 网络攻击 预测模型 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]