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- W2064291930 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 With the growing use of smart phones, the traditional keypad on mobile phones has been replaced by touch screen devices.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%)." @default.
- W2064291930 created "2016-06-24" @default.
- W2064291930 creator A5006518374 @default.
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- W2064291930 date "2015-07-01" @default.
- W2064291930 modified "2023-10-14" @default.
- W2064291930 title "Implementing multiple biometric features for a recall-based graphical keystroke dynamics authentication system on a smart phone" @default.
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- W2064291930 doi "https://doi.org/10.1016/j.jnca.2015.03.006" @default.
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