2014
Continuous Authentication with Cognition-centric Text Production and Revision Features
LOCKLEAR, Hilbert; Sathya GOVINDARAJAN; Zdeňka SITOVÁ; Adam GOODKIND; David Guy BRIZAN et. al.Základní údaje
Originální název
Continuous Authentication with Cognition-centric Text Production and Revision Features
Autoři
LOCKLEAR, Hilbert (840 Spojené státy); Sathya GOVINDARAJAN (356 Indie); Zdeňka SITOVÁ (203 Česká republika, domácí); Adam GOODKIND (840 Spojené státy); David Guy BRIZAN (840 Spojené státy); Andrew ROSENBERG (840 Spojené státy); Vir V. PHOHA (840 Spojené státy); Paolo GASTI (380 Itálie) a Kiran S. BALAGANI (356 Indie)
Vydání
USA, International Joint Conference on Biometrics (IJCB), 2014, od s. 1-8, 8 s. 2014
Nakladatel
IEEE
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Kód RIV
RIV/00216224:14330/14:00082090
Organizační jednotka
Fakulta informatiky
ISBN
978-1-4799-3584-0
EID Scopus
2-s2.0-84921735853
Klíčová slova anglicky
biometrics;continuous authentication
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 2. 5. 2016 05:27, RNDr. Pavel Šmerk, Ph.D.
Anotace
V originále
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.