基于遗传算法的网络传输异常数据检测方法  

Method for detecting abnormal data in network transmission based on genetic algorithm

作　　者：魏丹[1] 杨春琴 李国元 贾文龙 于兴忠 WEI Dan;YANG Chunqin;LI Guoyuan;JIA Wenlong;YU Xingzhong(Northwest Oilfield Branch of China Petroleum and Chemical Corporation,Wulumuqi 830011,China;Nanjing Tianji Communication Technology Industry Co.,Ltd.,Nanjing 210019,China)

机构地区：[1]中国石油化工股份有限公司西北油田分公司,新疆乌鲁木齐830011 [2]南京天技通信技术实业有限公司,江苏南京210019

出　　处：《电子设计工程》2023年第15期94-97,106,共5页Electronic Design Engineering

摘　　要：针对网络传输过程异常数据与标准数据之间存在相对误差的问题,提出基于遗传算法的网络传输异常数据检测方法。通过遗传网络布局形式,建立标准的遗传适应度函数,利用数据编码标签,处理异常数据;通过定义网络传输数据异常簇点的方式,确定数据信息的传输密度水平,结合相关性检测阈值,实现网络传输异常数据检测。实验结果表明,设计方法的异常数据校正误差指标的最大值未超过2.0×10-3MB,得出该方法有效降低了误差。In view of the relative error between abnormal data and standard data in network transmission process,a detection method of abnormal data in network transmission based on genetic algorithm is proposed.Through the layout form of genetic network,the standard genetic fitness function is established,and then the abnormal data processing of network transmission based on genetic algorithm is completed by using data coding label.By defining the way of abnormal cluster points of network transmission data,determining the transmission density level of data information,and combining the correlation detection threshold expression,detect abnormal data in network transmission.The experimental results show that the maximum error index of abnormal data correction is less than 2.0×10-3 MB,and this method effectively reduces the error.

关 键 词：遗传算法 异常数据检测 适应度函数 编码标签 传输密度 相关性阈值 

分 类 号：TN919.3[电子电信—通信与信息系统]