Identifying Chinese E-Mail Documents' Authorship for the Purpose of Computer Forensic

Authors:
Jianbin Ma;Ying Li;Guifa Teng
Affiliations:
School of Information Science and Technology, Agricultural University of Hebei, Baoding, China 071001;School of Science, Agricultural University of Hebei, Baoding, China 071001;School of Information Science and Technology, Agricultural University of Hebei, Baoding, China 071001
Venue:
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Year:
2008

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Abstract

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.