%0 Conference Proceedings
%T Towards Active Linguistic Authentication
%+ Juola and Associates
%+ Duquesne University [Pittsburgh]
%+ Drexel University
%A Juola, Patrick
%A Noecker Jr., John
%A Stolerman, Ariel
%A Ryan, Michael
%A Brennan, Patrick
%A Greenstadt, Rachel
%Z Part 8: ADVANCED FORENSIC TECHNIQUES
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 9th International Conference on Digital Forensics (DF)
%C Orlando, FL, United States
%Y Gilbert Peterson
%Y Sujeet Shenoi
%I Springer
%3 Advances in Digital Forensics IX
%V AICT-410
%P 385-398
%8 2013-01-28
%D 2013
%R 10.1007/978-3-642-41148-9_25
%K Stylometry
%K authentication
%K authorship attribution
%K profiling
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 11
%Z WG 11.9
%2 https://inria.hal.science/hal-01460617/document
%2 https://inria.hal.science/hal-01460617/file/978-3-642-41148-9_25_Chapter.pdf
%L hal-01460617
%U https://inria.hal.science/hal-01460617
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9
%~ IFIP-AICT-410