SYSTEM AND METHOD FOR CLASSIFYING REGIONS OF KEYSTROKE DENSITY WITH A NEURAL NETWORK
摘要
<p>We develop a system consisting of a neutral 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)</p>
申请公布号
WO2007001390(A2)
申请公布日期
2007.01.04
申请号
WO2005US35219
申请日期
2005.09.30
申请人
THE PENN STATE RESEARCH FOUNDATION;PHOHA, VIR, V.;BABU, SUNIL;RAY, ASOK;PHOABA, SHASHI, P.
发明人
PHOHA, VIR, V.;BABU, SUNIL;RAY, ASOK;PHOABA, SHASHI, P.