Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on a smart phone

Chao Liang Liu, Cheng Jung Tsai, Ting-Yi  Chang, Wang Jui Tsai, Po Kai Zhong

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Keystroke Dynamics-based Authentication (KDA) is a type of behavioral biometric method. It verifies user identity via the keystroke features gathered from the keystroke events provided by users on a QWERTY keyboard. With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices. The keypad-based KDA is no longer suitable for smart phones. This paper proposes a KDA system implemented using multiple biometric features applied to the pattern lock layout on a smart phone. Except for the time, pressure and size of the keystroke features presented in previous research, we additionally adopted a novel angle keystroke feature and determined the best combination of these features in a series of experiments. As the results show, with 10 training samples involved, the combination of time, pressure and angle offers the best utility (Equal Error Rate of 3.03%).

Original languageEnglish
Pages (from-to)128-139
Number of pages12
JournalJournal of Network and Computer Applications
Volume53
DOIs
Publication statusPublished - 2015 Jul 1

Fingerprint

Biometrics
Authentication
Computer keyboards
Touch screens
Mobile phones
Experiments

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Cite this

@article{4d5c19a2ea4c4a1ebfb2a6dabc2a5844,
title = "Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on a smart phone",
abstract = "Keystroke Dynamics-based Authentication (KDA) is a type of behavioral biometric method. It verifies user identity via the keystroke features gathered from the keystroke events provided by users on a QWERTY keyboard. With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices. The keypad-based KDA is no longer suitable for smart phones. This paper proposes a KDA system implemented using multiple biometric features applied to the pattern lock layout on a smart phone. Except for the time, pressure and size of the keystroke features presented in previous research, we additionally adopted a novel angle keystroke feature and determined the best combination of these features in a series of experiments. As the results show, with 10 training samples involved, the combination of time, pressure and angle offers the best utility (Equal Error Rate of 3.03{\%}).",
author = "Liu, {Chao Liang} and Tsai, {Cheng Jung} and Ting-Yi  Chang and Tsai, {Wang Jui} and Zhong, {Po Kai}",
year = "2015",
month = "7",
day = "1",
doi = "10.1016/j.jnca.2015.03.006",
language = "English",
volume = "53",
pages = "128--139",
journal = "Journal of Network and Computer Applications",
issn = "1084-8045",
publisher = "Academic Press Inc.",

}

Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on a smart phone. / Liu, Chao Liang; Tsai, Cheng Jung; Chang, Ting-Yi ; Tsai, Wang Jui; Zhong, Po Kai.

In: Journal of Network and Computer Applications, Vol. 53, 01.07.2015, p. 128-139.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on a smart phone

AU - Liu, Chao Liang

AU - Tsai, Cheng Jung

AU - Chang, Ting-Yi 

AU - Tsai, Wang Jui

AU - Zhong, Po Kai

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Keystroke Dynamics-based Authentication (KDA) is a type of behavioral biometric method. It verifies user identity via the keystroke features gathered from the keystroke events provided by users on a QWERTY keyboard. With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices. The keypad-based KDA is no longer suitable for smart phones. This paper proposes a KDA system implemented using multiple biometric features applied to the pattern lock layout on a smart phone. Except for the time, pressure and size of the keystroke features presented in previous research, we additionally adopted a novel angle keystroke feature and determined the best combination of these features in a series of experiments. As the results show, with 10 training samples involved, the combination of time, pressure and angle offers the best utility (Equal Error Rate of 3.03%).

AB - Keystroke Dynamics-based Authentication (KDA) is a type of behavioral biometric method. It verifies user identity via the keystroke features gathered from the keystroke events provided by users on a QWERTY keyboard. With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices. The keypad-based KDA is no longer suitable for smart phones. This paper proposes a KDA system implemented using multiple biometric features applied to the pattern lock layout on a smart phone. Except for the time, pressure and size of the keystroke features presented in previous research, we additionally adopted a novel angle keystroke feature and determined the best combination of these features in a series of experiments. As the results show, with 10 training samples involved, the combination of time, pressure and angle offers the best utility (Equal Error Rate of 3.03%).

UR - http://www.scopus.com/inward/record.url?scp=84928479033&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928479033&partnerID=8YFLogxK

U2 - 10.1016/j.jnca.2015.03.006

DO - 10.1016/j.jnca.2015.03.006

M3 - Article

VL - 53

SP - 128

EP - 139

JO - Journal of Network and Computer Applications

JF - Journal of Network and Computer Applications

SN - 1084-8045

ER -