基于路由交换数据的网络链路漏洞检测方法  

Network link vulnerability detection method based on routing exchange data

作　　者：付成龙 王戈 FU Chengong;WANG Ge(Kaifeng Vocational College of Culture and Art,School of computer Science,Kaifeng,Henan 475000)

机构地区：[1]开封文化艺术职业学院,计算机学院,河南开封475000

出　　处：《长江信息通信》2024年第3期96-98,共3页Changjiang Information & Communications

摘　　要：针对当前网络链路漏洞检测方法对于路由数据的分析能力较差,导致漏洞检测结果误报率较高且检测周期较长的问题,提出基于路由交换数据的网络链路漏洞检测方法。应用人工智能技术,完成网络链路中的信息进行初步处理。用数据在线分析算法预测路由交换输的复杂程度,并实现路由数据的数据序列信号重塑。根据免疫原理,生成数据包检查码。应用功率累积尺度提取网络链路复用特征函数,设计网络链路漏洞检测算法。构建实验环节,实验结果证实:此方法的路由数据分析能力较强,可进一步降低检测误报率,缩减检测周期,提高网络信息安全性。In order to solve the problem that the current network link vulnerability detection method has poor analysis ability of routing data,resulting in a high false positive rate of vulnerability detection results and a long detection cyclec,a nctwork link vulncrability detection method based on routing exchange data is proposed.Apply artificial intelligence technology to complete preliminary processing of information in network links.Use data online analysis algorithms to predict the complexity of routing exchanges and achieve data sequcnce signal reshaping of routing data.Based on the immune principle,the packet inspection code is gencrated.Apply the power accumulation scale to extract the network link reuse characteristic function and design the network link vulnerability detection algorithm.An experimental link is constructed,and the experimental results confirm that this method has strong routing data analysis capabilities,can further reduce the detection false alarm rate,shorten the detection cycle,and improve network information security.

关 键 词：路由交换数据 免疫算法 聚类分析 安全性评估 

分 类 号：TP133[自动化与计算机技术—控制理论与控制工程]