摘要
在计算机通信网络中,传输数据中断检测对于保证传输数据的完整性和稳定性具有重要影响。因此,文章提出一种基于相似度检测和约束标签法的网络传输数据断点检测方法。通过相似度检测计算数据点之间的欧氏距离,以识别异常数据。利用约束标签法提高测准确性,设定距离阈值进行数据断点区域的精确识别。实验结果表明,与传统方法相比,文章设计方法在不同样本数量条件下具有更低的耗时和漏检率,表现出更高的检测效率和准确性。
In the computer communication network,transmission data interruption detection has an important impact on ensuring the integrity and stability of transmission data.Therefore,this paper proposes a breakpoint detection method of network transmission data based on similarity detection and constraint label method.The Euclidean distance between data points is calculated by similarity detection to identify abnormal data.The constraint label method is used to improve the accuracy of measurement,and the distance threshold is set to accurately identify the data breakpoint area.The experimental results show that compared with the traditional methods,the method designed in this paper has lower time consumption and missed detection rate under different sample sizes,and shows higher detection efficiency and accuracy.
作者
文险峰
WEN Xianfeng(Xiangxiang Bureau of Natural Resources,Xiangtan 411400,China)
出处
《通信电源技术》
2024年第19期185-187,共3页
Telecom Power Technology
关键词
计算机通信
网络传输数据
断点检测
computer communication
network transmission data
breakpoint detection