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An Anonymous Email Identification Solution based on Writing Structural Patterns

An Anonymous Email Identification Solution based on Writing Structural Patterns

Yanhua Liu, Guolong Chen, Yiyun Zhang
Copyright: © 2015 |Volume: 7 |Issue: 2 |Pages: 13
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466676664|DOI: 10.4018/IJGHPC.2015040103
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MLA

Liu, Yanhua, et al. "An Anonymous Email Identification Solution based on Writing Structural Patterns." IJGHPC vol.7, no.2 2015: pp.37-49. http://doi.org/10.4018/IJGHPC.2015040103

APA

Liu, Y., Chen, G., & Zhang, Y. (2015). An Anonymous Email Identification Solution based on Writing Structural Patterns. International Journal of Grid and High Performance Computing (IJGHPC), 7(2), 37-49. http://doi.org/10.4018/IJGHPC.2015040103

Chicago

Liu, Yanhua, Guolong Chen, and Yiyun Zhang. "An Anonymous Email Identification Solution based on Writing Structural Patterns," International Journal of Grid and High Performance Computing (IJGHPC) 7, no.2: 37-49. http://doi.org/10.4018/IJGHPC.2015040103

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Abstract

A method to analyze anonymous emails in digital forensics is presented in this paper. The frequent pattern-growth algorithm is used in the proposed method to analyze an email and obtain the structural email writing pattern of the user. The influence of a user's writing structural pattern on the analysis of an anonymous email varies. The analytic hierarchy process is used to calculate the weight of a user's different writing structural patterns. For a given anonymous email, matching the writing structural pattern and weight calculation can help investigators improve their decision making and determine the author of an anonymous email in forensic work.

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