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.
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Ma, J., Teng, G., Chang, S., Zhang, X., Xiao, K. (2011). Social Network Analysis Based on Authorship Identification for Cybercrime Investigation. In: Chau, M., Wang, G.A., Zheng, X., Chen, H., Zeng, D., Mao, W. (eds) Intelligence and Security Informatics. PAISI 2011. Lecture Notes in Computer Science, vol 6749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22039-5_3
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DOI: https://doi.org/10.1007/978-3-642-22039-5_3
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