System and method for classifying regions of keystroke density with a neural network
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United States of America Patent
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Nov 17, 2009
Grant Date -
Oct 18, 2007
app pub date -
Sep 29, 2005
filing date -
Oct 4, 2004
priority date (Note) -
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Abstract
We develop a system consisting of a neural architecture resulting in classifying regions corresponding to users' keystroke patterns. We extend the adaptation properties to classification phase resulting in learning of changes over time. Classification results on login attempts of 43 users (216 valid, 657 impersonation samples) show considerable improvements over existing methods.
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