中文电子邮件作者的身份判别

电子邮件已成为因特网上最基本、最重要的应用之一。但利用电子邮件进行诈骗、反动宣传等犯罪现象也日益严重。因此采用研究中文电子邮件作者身份挖掘的方法,以识别邮件作者的真实身份,为计算机取证提供依据。通过分析邮件作者的语言特征、结构特征和格式特征,利用支持向量机算法,自动把邮件文档分类到预定的作者类别中,并对有限数据集的试验取得了满意的结果。

Authorship identification of Chinese E-mail

E-mail has become one of the most important application on the Internet.But,the phenomenon of utilizing e-mail to crime is serious day by day,such as antisocial mail,fraud mail,racketeering mail,terroristic threatening mail and so on.So the paper studies the method mining the Chinese E-mail author's true identity,offers basis for Computer Forensics.We use various e-mail document features to classify authorship of emails such as structural characteristics,linguistic evidence and form characteristics with the Support Vector Machine as the learning algorithm.Experiments on a number of e-mail documents give promising results with some e-mail document features and author categories giving better categorization performance results.