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Exploring Touch-Scr...
Exploring Touch-Screen Biometrics for User Identification on Smart Phones
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- Angulo, Julio, 1980- (author)
- Karlstads universitet,Avdelningen för informatik och projektledning,Centrum för HumanIT,HumanIT, PriSec
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- Wästlund, Erik, 1969- (author)
- Karlstads universitet,Avdelningen för psykologi,Human IT
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(creator_code:org_t)
- Berlin, Heidelberg : Springer, 2011
- 2011
- English.
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In: Privacy and Identity Managementfor Life. - Berlin, Heidelberg : Springer. - 9783642316678 - 9783642316685 ; , s. 130-143
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Abstract
Subject headings
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- The use of mobile smart devices for storing sensitive informationand accessing online services is increasing. At the same time, methods for authenticating users into their devices and online services that are not only secure, but also privacy and user-friendly are needed. In this paper, we present our initial explorations of the use of lock pattern dynamics as a secure and user-friendly two-factor authentication method. We developed an application for the Android mobile platform to collect data on the way individuals draw lock patterns on a touchscreen. Using a Random Forest machine learning classier this method achieves an average Equal Error Rate (EER) of approximately 10.39%, meaning that lock patterns biometrics can be used for identifying users towards their device, but could also pose a threat to privacy if the users' biometric information is handled outside their control.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
Keyword
- Mobile user experience
- biometrics
- smart mobile devices
- mobile identity management
- mobile authentication
- privacy
- lock patterns
- Datavetenskap
- Computer Science
Publication and Content Type
- ref (subject category)
- kon (subject category)
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