Conference proceeding
Towards Active Linguistic Authentication
IFIP Advances in Information and Communication Technology, v AICT-410, pp 385-398
2013
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.
Metrics
Details
- Title
- Towards Active Linguistic Authentication
- Creators
- Patrick Juola - Duquesne UniversityJohn Noecker Jr - Juola and AssociatesAriel Stolerman - Drexel UniversityMichael Ryan - Juola and AssociatesPatrick Brennan - Juola and AssociatesRachel Greenstadt - Drexel University
- Publication Details
- IFIP Advances in Information and Communication Technology, v AICT-410, pp 385-398
- Conference
- 9th International Conference on Digital Forensics (DF), 9th
- Series
- Advances in Digital Forensics IX
- Publisher
- Springer
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000329976600025
- Scopus ID
- 2-s2.0-84886504246
- Other Identifier
- 991019173905004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Telecommunications