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Mining e-mail content for author identification forensics

de Vel, Olivier, Anderson, Alison M., Corney, Malcolm W., & Mohay, George (2001) Mining e-mail content for author identification forensics. ACM SIGMOD Record - Web Edition, 30(4).

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Abstract

We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation.

Impact and interest:

142 citations in Scopus
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66 citations in Web of Science®

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ID Code: 8019
Item Type: Journal Article
Additional Information: For more information, please refer to the publisher's website (link above) or contact the author: a.anderson@qut.edu.au
Additional URLs:
Keywords: email analysis, computer forensics, support vector machine, text analysis, computational linguistics, stylistics
Subjects: Australian and New Zealand Standard Research Classification > LANGUAGES COMMUNICATION AND CULTURE (200000) > LINGUISTICS (200400) > Computational Linguistics (200402)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2001 Please consult the authors.
Deposited On: 06 Jun 2007
Last Modified: 15 Mar 2011 16:04

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