Social network analysis based on authorship identification for cybercrime investigation

Authors:
Jianbin Ma;Guifa Teng;Shuhui Chang;Xiaoru Zhang;Ke Xiao
Affiliations:
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China;College of Information Science and Technology, Agricultural University of Hebei, Baoding, China;College of Information Science and Technology, Agricultural University of Hebei, Baoding, China;Audio and Computer Center, The Central Institute for Correctional Police, Baoding, China;College of Information Science and Technology, Agricultural University of Hebei, Baoding, China
Venue:
PAISI'11 Proceedings of the 6th Pacific Asia conference on Intelligence and security informatics
Year:
2011

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Abstract

With the rapid development of Internet, cybercrime by means of Internet become serious. Mining their communication can be used to discover some latent criminal activities. Social network analysis is used for understanding their social communication status. But promulgating information on Internet is free. Criminals can hide in any corner by anonymity or forging their personal information. Authorship identification methods based on stylometry is necessary to identify criminal's real authorship. So in this paper, social network analysis methods based on e-mail and blog was provided. Authorship identification using to judge authorship's authenticity was proposed. Experiments on e-mail and blog dataset's social network analysis were demonstrated.