基于改进K-means算法的校园网络环境安全态势感知方法  

Security Situational A wareness Method of Campus Network Environment Based on Improved K-means Algorithm

作　　者：魏伟[1] WEI Wei(Jiangsu Maritime Institute,Nanjing Jiangsu 211170,China)

机构地区：[1]江苏海事职业技术学院,江苏南京211170

出　　处：《信息与电脑》2023年第12期96-98,共3页Information & Computer

基　　金：江苏海事职业技术学院研究课题“基于校园网网络空间信息资产地图索引的研究应用”(项目编号:ZSKT07)。

摘　　要：由于现有校园网络环境安全态势感知方法的感知速度较慢,提出基于改进K-means算法的校园网络环境安全态势感知方法。首先,构建校园网络安全态势指标体系,确定校园网络安全态势指标;其次,对指标进行量化,基于改进K-means算法建立校园网络环境安全态势的判断矩阵,实现对校园网络环境安全态势的感知;最后,进行实验对比分析。实验结果表明,该方法的评估时间较短,优于对比方法,能够有效提升校园网络环境安全态势感知的速度。Due to the slow perception speed of existing campus network environment security situational awareness methods,a campus network environment security situational awareness method based on the improved K-means algorithm is proposed.Firstly,construct a campus network security situation indicator system and determine the campus network security situation indicators.Secondly,quantify the indicators and establish a judgment matrix for the security situation of the campus network environment based on the improved K-means algorithm to achieve awareness of the security situation of the campus network environment.Finally,conduct experimental comparative analysis.The experimental results show that this method has a shorter evaluation time and is superior to the comparison method,and can effectively improve the speed of campus network environment security situational awareness.

关 键 词：K-MEANS算法 校园网络 安全态势 

分 类 号：TN919[电子电信—通信与信息系统]