@inproceedings{b14b16b3a50d4e01846213a17116cecd,
title = "Towards active linguistic authentication",
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",
author = "Patrick Juola and John Noecker and Ariel Stolerman and Michael Ryan and Patrick Brennan and Rachel Greenstadt",
year = "2013",
doi = "10.1007/978-3-642-41148-9_25",
language = "English (US)",
isbn = "9783642411472",
series = "IFIP Advances in Information and Communication Technology",
pages = "385--398",
booktitle = "Advances in Digital Forensics IX - 9th IFIP WG 11.9 International Conference on Digital Forensics, Revised Selected Papers",
note = "9th Annual IFIP WG 11.9 International Conference on Digital Forensics ; Conference date: 28-01-2013 Through 30-01-2013",
}