Nowadays, 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. The theoretical framework was presented. Various style features including linguistic features, structural characteristics and format features were analyzed. The support vector machine algorithm was used for learning algorithm. To validate the methods, experiments were made on limited dataset. The results were satisfying, which proved that the methods were effective and feasible to apply to computer forensic. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Ma, J., Li, Y., & Teng, G. (2008). Identifying chinese E-mail documents’ authorship for the purpose of computer forensic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5075 LNCS, pp. 251–259). https://doi.org/10.1007/978-3-540-69304-8_25
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