船舶通信网络垃圾邮件的检测分析

Detection and analysis of spam in ship communication network

垃圾邮件占用大量的船舶通信网络通信资源,而且危及船舶通信网络安全,针对当前船舶通信网络垃圾邮件检测率低,检测时间复杂度高的难题,设计基于数据挖掘的船舶通信网络垃圾邮件检测方法。首先对船舶通信网络垃圾邮件检测原理进行分析,提取船舶通信网络垃圾邮件检测特征,然后采用数据挖掘方法对船舶通信网络垃圾邮件检测特征进行分析,建立船舶通信网络垃圾邮件检测的分类器,最后进行船舶通信网络垃圾邮件检测实证分析,分析结果表明本文方法的船舶通信网络垃圾邮件检测正确率超过了90%,远远高于船舶通信网络垃圾邮件检测的实际要求,降低了船舶通信网络垃圾邮件检测时间复杂度,是一种有效的船舶通信网络垃圾邮件检测手段。

Spam takes up a lot of communication resources of ship communication network,and it is dangerous to the safety of ship communication network.In view of the low detection rate and high detection time complexity of ship communication network,a spam detection method based on data mining is designed to improve the detection effect of ship communication network spam.Firstly,the principle of spam detection in ship communication network is analyzed,and the characteristics of spam detection in ship communication network are extracted.Secondly,the spam detection features in ship communication network are analyzed by data mining method,and the classifier of spam detection in ship communication network is established.Finally,the empirical analysis of spam detection in ship communication network is carried out.The accuracy rate of spam detection in ship communication network is over 90%,which is much higher than the actual requirement of spam detection in ship communication network.It reduces the time of spam detection in ship communication network and is an effective means of spam detection in ship communication network.