Towards active linguistic authentication

Patrick Juola, John Noecker, Ariel Stolerman, Michael Ryan, Patrick Brennan, Rachel Greenstadt

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Biometric technologies offer a new and effective means for securing computers against unauthorized access. Linguistic technologies and, in particular, authorship attribution technologies can assist in this effort. This paper reports on the results of analyzing a novel corpus that was developed to test the possibility of active linguistic authentication. The study collected the one-week work product of nineteen temporary workers in a simulated office environment. The results demonstrate that techniques culled from the field of authorship attribution can identify workers with more than 90% accuracy.

    Original languageEnglish (US)
    Title of host publicationAdvances in Digital Forensics IX - 9th IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers
    Pages385-398
    Number of pages14
    DOIs
    StatePublished - 2013
    Event9th Annual IFIP WG 11.9 International Conference on Digital Forensics - Orlando, FL, United States
    Duration: Jan 28 2013Jan 30 2013

    Publication series

    NameIFIP Advances in Information and Communication Technology
    Volume410
    ISSN (Print)1868-4238

    Conference

    Conference9th Annual IFIP WG 11.9 International Conference on Digital Forensics
    CountryUnited States
    CityOrlando, FL
    Period1/28/131/30/13

    Keywords

    • Stylometry
    • authentication
    • authorship attribution
    • profiling

    ASJC Scopus subject areas

    • Information Systems
    • Computer Networks and Communications
    • Information Systems and Management

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