摘要
传统的应对网络威胁的手段是根据所发生的攻击针对性的提供补救措施,但是这种方式具有较强的滞后性,已难以满足现在快节奏的网络运行环境。如何提供一种对网络安全状况的量化指标,根据对网络安全的走势进行预测已经成为了如今的研究热点。文中针对网络安全的量化评估与预测问题,首先,提出了一种基于层次化评估模型的方法,实现了对网络安全态势的量化手段,将其从定性分析上升到了定量分析;其次,提出了一种基于相关向量机的网络安全态势预测模型,并通过蝙蝠算法提升了该模型的运行效率;最后,通过数据集的样本学习,验证了预测方法的有效性,该方法具有较高的精度和可靠性。
The traditional means to deal with cyber threats is to provide remedial measures according to the attacks,but this method has a strong lag,and it is difficult to meet the current fast-paced network operating environment.How to provide a quantitative index of network security and predict the trend of network security has become a research hotspot.Aims at the quantitative assessment and prediction of network security.Firstly,a method based on hierarchical assessment model is proposed to realize the quantitative method of network security situation,which is upgraded from qualitative analysis to quantitative analysis.Secondly,a network security situation prediction model based on correlation vector machine is proposed,and the efficiency of the model is improved by bat algorithm.Finally,the validity of the prediction method is verified through the sample learning of the data set,which has high accuracy and reliability.
作者
徐国锋
李明珠
李树峰
XU Guo-feng;LI Ming-zhu;LI Shu-feng(Qingdao Branch of Naval Aviation University,Qingdao 266041,Shandong Province,China)
出处
《信息技术》
2020年第1期153-158,共6页
Information Technology
关键词
网络安全
蝙蝠算法
相关向量机
量化评估
network security
bat algorithm
feature matching
quantitative evaluation
