基于数据融合的互联网网站群信息安全监测系统研究  

Research on Internet website group information security monitoring system based on data fusion

作　　者：和朝敦 HE Chaodun(Zhengzhou Vocational Institute of Technology,Zhengzhou 450000,China)

机构地区：[1]郑州理工职业学院,河南郑州450000

出　　处：《电子设计工程》2024年第14期159-164,共6页Electronic Design Engineering

摘　　要：由于互联网网站群信息具有多源性以及复杂性,传统方法在进行信息安全监测时通常会因缺乏有效的数据融合处理而导致监测精度较差。为解决这一问题,提出基于数据融合的互联网网站群信息安全监测系统。该文采用分布式架构的思想对系统的硬件部分进行设计,搭建出包含展示交互层以及功能应用层在内的硬件结构。引入可信度指数,对不同数据源的网络信息进行融合处理。并结合网络信息熵值以及差异系数,对不同网站群下的网络信息安全态势值进行计算。通过设定安全阈值,计算出网站群的综合安全态势值,进而根据网站群的感知结果对其进行预警监测。在实验中,对提出的信息安全检测系统进行了监测精度的检验。实验结果表明,采用提出的系统进行网站群信息安全监测时,系统发出的真实预警信息占比较高,具备较为理想的监测精度。Due to the multi-source and complexity of Internet website group information,traditional methods usually lack effective data fusion processing in information security monitoring,resulting in poor monitoring accuracy.In order to solve this problem,this paper proposes Internet website group information security monitoring system based on data fusion.The hardware part of the system is designed using the concept of distributed architecture,and a hardware structure including a display interaction layer and a functional application layer is constructed.The credibility index is introduced to fuse network information from different data sources.And combined with the network information entropy value and coefficient of difference,calculate the network information security situation value under different website groups.By setting a security threshold and calculating the comprehensive security situation value of the website group,warning and monitoring can be carried out based on the perception results of the website group.In the experiment,the monitoring accuracy of the proposed information security detection system was tested.The experimental results show that when using the proposed system for website group information security monitoring,the proportion of real warning information issued by the system is high,and it has ideal monitoring accuracy.

关 键 词：数据融合 互联网网站群 信息安全 监测系统 态势感知 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]