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

13 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 With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices.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

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All Science Journal Classification (ASJC) codes

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

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