检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张和伟[1] 王奉章 ZHANG Hewei;WANG Fengzhang(ZaoZhuang Vocational College of Science and Technology,Zaozhuang Shandong 277599,China)
出 处:《智能计算机与应用》2023年第7期119-122,共4页Intelligent Computer and Applications
摘 要:为了有效挖掘出网络协议漏洞,防止恶意攻击者泄露协议机密信息,维护协议运行环境安全,并改进安全漏洞检测技术,本研究提出了一种被动分簇算法在即时通信网络安全漏洞检测中的应用方法。首先,构建即时通信网络安全漏洞模型来界定监测区域,然后运用被动分簇算法获取即时通信网络节点。基于节点相对位置,用该算法确定安全弧序列以寻找节点漏洞弧段。随后,采用蚁群算法检测全部节点安全漏洞弧,从而实现完整安全漏洞的定位。仿真实验结果表明,本方法设计可精准检测即时通信网络安全漏洞节点,并且被动分簇算法在即时通信网络安全漏洞检测中的应用效果良好。因此,该方法对于挖掘和防范恶意攻击有着积极的作用,可以提高即时通信网络的安全性。In order to effectively discover network protocol vulnerabilities,prevent malicious attackers from leaking protocol confidential information,maintain the security of the protocol operating environment,and improve security vulnerability detection technology,this study proposes an application method of passive clustering algorithm in instant communication network security vulnerability detection.Firstly,construct an instant messaging network security vulnerability model to define the monitoring area,and then use passive clustering algorithm to obtain instant messaging network nodes.Based on the relative position of nodes,this algorithm is used to determine the sequence of security arcs to search for node vulnerability arcs.Subsequently,ant colony algorithm is used to detect all node security vulnerability arcs,thereby achieving the localization of complete security vulnerabilities.The simulation experimental results show that this method can accurately detect security vulnerability nodes in instant messaging networks,and the application effect of passive clustering algorithm in instant messaging network security vulnerability detection is good.Therefore,this method has a positive effect on mining and preventing malicious attacks,and can improve the security of instant messaging networks.
分 类 号:TP357[自动化与计算机技术—计算机系统结构]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.15