摘要
为了提高数据链路层网络包捕获能力,提出基于多空间内存共享的数据链路层网络包捕获方法.采用网格分块特征匹配方法进行数据链路层网络包的分块拆分处理,获取数据链路层网络包的层次化分割,运用分区域的统计特征分析方法,将数据链路层网络包大数据进行统计信息分析,提取数据链路层网络包的相似度特征量,进行数据链路层网络包的捕获和网格分块数据特征分析.通过演化特征融合分析方法,进行数据链路层网络包的分块融合和递归分析,在层次化聚类中心,进行数据链路层网络包的聚类过程的收敛性控制,建立数据链路层网络包的关联规则分布集.采用定量递归分析方法进行数据链路层网络包的多尺度融合处理,实现数据链路层网络包的优化捕获和提取.进行多空间内存共享时,通过数据链路层网络包捕获过程的自动化配准和收敛性控制,提高数据链路层网络包捕获的自适应性.仿真结果表明,采用该方法进行数据链路层网络包捕获的自适应性较好,特征匹配能力较强,对数据链路层网络包捕获的准确概率较高.
In order to improve the data link layer network packet capture capability,a data link layer network packet capture method based on multi-space memory sharing is proposed.The method of grid block feature matching is used for block fusion processing of data link layer network packets.The grid block feature matching method is used to split the data link layer network packet into blocks,to obtain the hierarchical segmentation of the data link layer network packet,and use the statistical feature analysis method of the subregion to divide the data link layer network packet big data performs statistical information analysis,extracts similarity characteristics of data link layer network packets,performs data link layer network packet capture and grid block data feature analysis.The evolutionary feature fusion analysis method is used for block fusion and recursive analysis of data link layer network packets.The convergence of the data link layer network packet clustering process is controlled and the association rule distribution set of the data link layer network packet is established in the hierarchical clustering center.The quantitative recursive analysis method is used for multi-scale fusion processing of data link layer network packets to achieve optimized capture and extraction of data link layer network packets.The adaptability of the data link layer network packet capture is improved through the automatic registration and convergence control of the data link layer network packet capture process in the multi-space memory sharing process.The simulation results show that this method has better adaptability,stronger feature matching ability and higher accuracy probability for data link layer network packet capture.
作者
胡志英
HU Zhiying(School of Computer Engineering,Anhui Wenda University of Information Engineering,Hefei Anhui 231201)
出处
《宁夏师范学院学报》
2021年第7期76-81,88,共7页
Journal of Ningxia Normal University
基金
无线异构网络环境下资源分配方法研究(XZR2020A04).
关键词
多空间
内存共享
数据链路层
网络包
捕获
Multi-space
Memory sharing
Data link layer
Network package
Capture
