%0 Journal Article
%T Survey on image-based spam filtering<br>图像型垃圾邮件过滤技术综述
%A WAN Ming-cheng
%A GENG Ji
%A CHENG Hong-rong
%A CHEN Jia
%A <br>万明成
%A 耿技
%A 程红蓉
%A 陈佳
%J 计算机应用研究
%D 2008
%I 
%X This paper analyzed the difficulties of detecting image-based spam with the features of images in detail.The features of spam images were divided into eight categories such as file attribute features,image metadata and so on.Then,discussed and compared five classification algorithms which have been used in image-based spam filtering were outlined,including support vector machines,decision tree method,maximum entropy model,the DS evidence theory,Bayesian algorithm and the effect of these algorithms.Finally,gave some future directions of research on the techniques of image-based spam filtering.
%K image-based spam
%K human disturbance
%K spam images
%K feature analyze
%K classification algorithms<br>图像型垃圾邮件
%K 人为干扰
%K 垃圾邮件图像
%K 特征分析
%K 分类算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FEFC70CBBFBB93452C02AC0EB5A38858&yid=67289AFF6305E306&vid=C5154311167311FE&iid=9CF7A0430CBB2DFD&sid=84C883A28CC091D6&eid=F74ADEC5634CE74F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=4&reference_num=39