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Multi-Topic E-mail Authorship Attribution Forensics

de Vel, Olivier, Anderson, Alison M., Corney, Malcolm W., & Mohay, George M. (2001) Multi-Topic E-mail Authorship Attribution Forensics. In ACM COnference on Computer Security - Workshop on Data Mining for Security Applications, November 8, 2001, Philadelphia, PA, USA.

Abstract

In this paper we describe an investigation of forensic authorship identification or categorisation undertaken on multitopic e-mail documents. We use an extended set of e-mail document features such as structural characteristics and linguistic patterns together with a Support Vector Machine learning algorithm. Experiments on a number of e-mail documents generated by different authors on a set of topics gave promising results for both inter- and intra-topic author categorisation.

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ID Code: 8039
Item Type: Conference Paper
Additional URLs:
Keywords: e, mail, computer forensics, authorship attribution, stylistics, support vector machine
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 > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Information Security Institute
Copyright Owner: Copyright 2001 ACM - Association for Computing Machinery.
Deposited On: 07 Jun 2007
Last Modified: 09 Jun 2010 22:41

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