2014
Continuous Authentication with Cognition-centric Text Production and Revision Features
LOCKLEAR, Hilbert; Sathya GOVINDARAJAN; Zdeňka SITOVÁ; Adam GOODKIND; David Guy BRIZAN et. al.Basic information
Original name
Continuous Authentication with Cognition-centric Text Production and Revision Features
Authors
LOCKLEAR, Hilbert (840 United States of America); Sathya GOVINDARAJAN (356 India); Zdeňka SITOVÁ (203 Czech Republic, belonging to the institution); Adam GOODKIND (840 United States of America); David Guy BRIZAN (840 United States of America); Andrew ROSENBERG (840 United States of America); Vir V. PHOHA (840 United States of America); Paolo GASTI (380 Italy) and Kiran S. BALAGANI (356 India)
Edition
USA, International Joint Conference on Biometrics (IJCB), 2014, p. 1-8, 8 pp. 2014
Publisher
IEEE
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
RIV identification code
RIV/00216224:14330/14:00082090
Organization unit
Faculty of Informatics
ISBN
978-1-4799-3584-0
EID Scopus
2-s2.0-84921735853
Keywords in English
biometrics;continuous authentication
Tags
International impact, Reviewed
Changed: 2/5/2016 05:27, RNDr. Pavel Šmerk, Ph.D.
Abstract
In the original language
Most continuous user authentication techniques based on typing behavior rely on the keystroke dynamics or on the linguistic style of the user. However, there is a rich spectrum of cognition-centric behavioral traits that a typist exhibits during different stages of text production (e.g., composition, translation, and revision), which to our knowledge, have not been considered for continuous authentication. We study the continuous authentication performance of 123 behavioral traits extracted from discrete cognitive units called bursts. We performed experiments on typing data collected from 486 volunteer subjects. Our findings include: (1) features from bursts delimited by pause events have significantly higher availability and authentication performance compared to bursts delimited by revision events; (2) bursts with pause durations of at least one second provide the best authentication accuracy and availability; and (3) fusing our features with traditional keystroke dynamics features reduced authentication error rates. We achieved an equal error rate between 13.37 and 4.55 percent for authentication windows as low as 30 seconds to 3.5 minutes.