Biometric System Design for Handheld Devices Team 4 Naif Alotaibi, Rich Barilla, Francisco Betances,...
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Transcript of Biometric System Design for Handheld Devices Team 4 Naif Alotaibi, Rich Barilla, Francisco Betances,...
Biometric System Design for Handheld Devices
Team 4
Naif Alotaibi, Rich Barilla, Francisco Betances, Aditya Chohan, Alexandra Garcia,
Alexander Gazarov,Mantie Reid, and Vinnie Monaco
Outline
• Introduction• Related Work• Background• Methodology• Data Collection
Introduction
Mobile devices become
pervasive
Security issues become more
important
Simple pin or pattern is the only defense
There is a need for constant
authentication
Related Work
• Researchers at University of Hong Kong– Single-Touch, Multi-Touch, Drag– Neural network, error rate of 7.8%
• 2012 ACM SIGCHI Conference on Human Factors in Computing Systems– 90% accuracy (single gestures)– Improvement using multiple gestures
(sequence)
• Researchers at the University of Houston– Graphic Touch Gesture Feature (GTGF)– Flick up/down, flick right/left, zoom in/out – Converting touch traces to images– Low Equal Error Rate of 2.62%
• Mobile device picking up motion– Trajectory and angle– Error rate of 6.13%– Accuracy declines with user movement
Background
• Touchscreen– X and Y coordinates of the touch (position) – Pressure of the touch– Size of the contact area– State change (Ex. Up, Down, etc) – Multi-touch screens report multiple movement
traces at the same time using pointers.
– Motion sensors: measure acceleration and rotational forces. – Position sensors: used for capturing data about the physical
position of the device – Useful sensors for developing our system:
• Accelerometer: measure the acceleration applied to the device. • Gyroscope: measures the rotation around the device's axis. • Orientation: measure the position relative to the earth's frame of
reference
Sensors
Position Motion Environment
Raw data capture
Dev
ice
confi
gura
tion
Sens
or-b
ased
dat
a
Touc
h sc
reen
dat
aPointer coordinatesTouch action (down, move, or up)Finger pressure on the screenSize and shape of the touched area
AccelerometerGravityRotation
System versionDevice orientationScreen sizeScreen density
System architecture
Main activity (with
WebView)
Biometric event
Event buffer
SQLite database
Data file
Network
Settings activity
Data Collection
Data Collection
Results
• 98% accuracy within single session• 25% with one session as test and the
other as training data
Thank You!