Towards Active Linguistic Authentication - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2013

Towards Active Linguistic Authentication

Résumé

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.
Fichier principal
Vignette du fichier
978-3-642-41148-9_25_Chapter.pdf (879.84 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01460617 , version 1 (07-02-2017)

Licence

Identifiants

Citer

Patrick Juola, John Noecker Jr., Ariel Stolerman, Michael Ryan, Patrick Brennan, et al.. Towards Active Linguistic Authentication. 9th International Conference on Digital Forensics (DF), Jan 2013, Orlando, FL, United States. pp.385-398, ⟨10.1007/978-3-642-41148-9_25⟩. ⟨hal-01460617⟩
146 Consultations
128 Téléchargements

Altmetric

Partager

More