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E-Mail authorship attribution for computer forensics

de Vel, Olivier, Anderson, Alison M., Corney, Malcolm W., & Mohay, George M. (2002) E-Mail authorship attribution for computer forensics. In Barbara, Daniel & Jajodia, Sushil (Eds.) Applications of Data Mining in Computer Security. Kluwer Academic Publishers/Springer, Boston.

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    Abstract

    In this chapter, we briefly overview the relatively new discipline of computer forensics and describe an investigation of forensic authorship attribution or identification undertaken on a corpus of multi-author and multi-topic 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 as the 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 intratopic author categorisation.

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    ID Code: 8025
    Item Type: Book Chapter
    Additional URLs:
    Keywords: authorship attribution, email analysis, text mining, support vector machine, stylometry, computer forensics
    ISBN: 9781402070549
    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 2002 Kluwer Academic Publisher / Springer
    Deposited On: 06 Jun 2007
    Last Modified: 15 Mar 2011 16:09

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