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Touch-Screen Mobile-Device
Data Collection for Biometrics Studies
W. Ciaurro, B. Major, D. Martinez, D. Panchal, G. Perez, M. Rana, R. Rana, R.
Reyes, S. Rodriguez, R. Valdez, D. Zuluaga
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Research Purpose
• Assist in Data Collection
• Understand Biometric Security
• Improve Authentication Systemo What Features are best at Authentication?o 2008 US Higher Education Opportunity Acto Mobile Device Authentication
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Biometric Technology
• Physical versus Behavioral characteristics
• Keystrokes biometrics
• Physiological biometricso Use a person’s physical attributeso Ex. fingerprint, face or iris recognition for
identification of user identity.
• Behavioral biometricso Use a person’s speech, writing, or keystrokes for
such verification.
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Literature Review
● Long-text-input keystroke studies at Pace University.
● Touchscreen input for continuous authentication at University of Oxford.
● Passive user authentication at Carnegie Mellon University.
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Project Details
• 10 college participants
• 3 days of data gathering
• Android phone, recorded features and gestures;
o Text inputso Number pad inputso Other inputs (scrolling, pinching, etc.)
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Keyboard Recorded Features:
• Duration
• Transitions
• Pressure
Gesture Recorded Features
• Locations of touch
• Major/Minor Axis of touch
• Touch Timing
• Gyroscope Recording
Project Details
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HardwareA variety of Android devices were used to capture data, including:
• LG Nexus 5
• LG Nexus 4
• Sony Xperia Z1
Pros of Android:
• Ease of Data Capture (lots of sensors)
• Open Source (Java platform)
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•Android Development Environments: 1. Eclipse
2. NetBeans • Both Java IDEs
● Data Collection Apps:○ Biometric Soft Keyboard○ Text Data Entry & Numeric Data Entry○ Biometric Gestures Capture
Software
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ExperimentsScenario 1 - Numeric Input:
The numeric data samples were collected using the "Numeric Data Entry" app which consisted in entering the numeric sequence (9141937761) followed by a enter key.
Scenario 2 - Text Input: The character data samples were collected using the "Text Data Entry" app which involved entering 2 sets of characters similar to composing a large text message.
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Experiments continued
Scenario 3 - Gestures:The touch gestures data samples were collected using the biometric gesture app. The 1st phase was to zoom in and out to locate an object within a picture. The 2nd phase was to zoom in on a question click on the answer them zoom out and go to the next questions.
One of our advantages was that we had no restrictions. Since this is a behavioral study each subject was unique to how they enter their keystroke.
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Literature Construction
• Learned the proper means of writing about research.
• Developed real world experience.
• Learned the challenges of working in groups on a schedule
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Conclusion
• We were able to take part in a graduate study.
• Deeper understanding of the experiment process.
• Chance to develop professional research publication.
• We have hopes of implementing a Biometric System in the future.
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Special Thanks
We would like to thank Gonzalo Perez,our project manager, Andreea Cotoranu and
Charles Tappert, our research advisors, and all PACE Graduate Students involved!.
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Thank You! Q&A