摘要
基于提高传统传输数据断点区域检测方法的检测效果、缩短检测运行时长、降低漏检率的目的,提出一种新的计算机通信网络数据传输断点区域检测方法。通过获取数据断点区域特征的信息分布,提取出数据断点区域的分布密度特征。采用标签方法检测提取特征的相似度,引入近邻算法推算出数据断点区域检测的最优解,完成智能检测。通过对比试验得出,该方法的检测耗时仅是传统方法的一半,且最大召回率为12%,漏检率较低,更具优势。
Based on the purpose of improving the detection effect,shortening the running time and reducing the missed detection rate,a new detection method of breakpoint area for data transmission in computer communication network is proposed.By obtaining the information distribution of data breakpoint region,the distribution density characteristic of data breakpoint region is extracted.Using the tag method to detect the similarity of extracted features,the nearest neighbor algorithm is introduced to calculate the optimal solution of the data breakpoint region detection,and the intelligent detection is completed.Through the comparative test,it is concluded that the detection time of this method is only half that of the traditional method,and the maximum recall rate is 12%,with a lower missed detection rate and more advantages.
作者
李玉亭
LI Yu-ting(Qinghai Vocational College of Police Officers,Xining 810000,China)
出处
《电子设计工程》
2020年第5期94-97,102,共5页
Electronic Design Engineering
关键词
通信网络传输数据
断点区域
检测
分布密度
近邻算法
communication networks transmit data
breakpoint region
detection
distribution density
neighbor algorithm
作者简介
李玉亭 ),女,回族,青海西宁人,硕士,讲师。研究方向:计算机网络通信。
