基于改进因子加权算法的校园网络安全态势感知方法  

Situation awareness method for campus network security based on improved factor weighting algorithm

作　　者：张光勇[1] ZHANG Guangyong(Shandong University of Technology,Zibo 255000,China)

机构地区：[1]山东理工大学,山东淄博255000

出　　处：《无线互联科技》2024年第22期122-124,共3页Wireless Internet Science and Technology

摘　　要：针对现有感知方法安全态势不稳定、感知时限错失率高的问题,文章提出了一种基于改进因子加权算法的校园网络安全态势感知方法。该方法首先关联设备中的漏洞与脆弱攻击点,以不同攻击路径获取的攻击行为作为安全态势因子,反映网络真实安全状况;然后运用改进因子加权算法对这些因子进行加权处理,以获得更全面的网络安全态势结果;最后对漏洞状态进行转化分析,建立校园网络安全态势判断模型,将转化后的指标输入该模型,以此完成安全态势感知。实验结果表明,应用该方法获取的态势值与实际态势值趋势相符,证明应用所提方法可准确反映网络安全状况,且其错失率较低、稳定性较好,应用效果较好。This paper proposes a campus network security situation awareness method based on an improved factor weighting algorithm to address the issues of unstable security situations and high missed perception time limits in existing perception methods.This method firstly associates vulnerabilities and vulnerable attack points in devices,and uses attack behaviors obtained from different attack paths as security situational factors to reflect the true security situation of the network.Then,the improved factor weighting algorithm is applied to weight these factors to obtain more comprehensive network security situation results.Finally,the vulnerability status is transformed and analyzed,a campus network security situation judgment model is established,and the transformed indicators are input into the model to complete security situation awareness.The experimental results show that the trend of the situation values obtained by applying this method is consistent with the actual situation values,proving that the proposed method can accurately reflect the network security situation,and its error rate is low,the stability is good,and the application effect is good.

关 键 词：改进因子加权 校园 网络 态势感知 安全 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]