Authorship identification of Chinese E-mail based on Form Features
E-mail has become one of the most important applications on the Internet At the same time, computer crimes involving e-mail increases rapidly. To prevent these phenomena from happening, the authorship identification methods for Chinese e-mail documents were described in this paper, which could provide evidence for the purpose of computer forensic. E-mail form features to classify authorship were extracted. To classify the author of Chinese email, the SVM(support vector machine) algorithm was adopted to learn the authors features. Experiments gained satisfactory results on limited dataset The accuracy of dataset for four authors was 92.56％. The satisfactory results showed that it was feasible to apply to computer forensic.
Chinese e-mail authorship identification Support Vector Machine form features computer forensic
Shuhui Chang Guifa Teng Jianbin Ma
College of Information Science and Technology, Agricultural University of Hebei, Baoding 071001, China
国际会议
太原
英文
512-515
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）