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1 Juola and Associates 2 Duquesne University Pittsburgh 3 Drexel University

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.

Keywords : Stylometry authentication authorship attribution profiling





Autor: Patrick Juola - John Noecker Jr. - Ariel Stolerman - Michael Ryan - Patrick Brennan - Rachel Greenstadt -

Fuente: https://hal.archives-ouvertes.fr/



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