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• W2037193857 abstract "In this research, we propose a novel biometric system for static user authentication that homogeneously combines mouse dynamics, visual search capability and short-term memory effect. The proposed system introduces the visual search capability, and short-term memory effect to the biometric-based security world for the first time. The use of a computer mouse for its dynamics, and as an input sensor for the other two biometrics, means no additional hardware is required than the standard mouse. Experimental evaluation showed the system effectiveness using variable or one-time passwords. All of these attributes qualify the proposed system to be effectively deployed as a static authentication mechanism. Extensive experimentation was done using 2740 sessions collected from 274 users. To measure the performance, a computational statistics model was specially designed and used; a statistical classifier based on Weighted-Sum produced an Equal Error Rate (EER) of 2.11%." @default.
• W2037193857 created "2016-06-24" @default.
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• W2037193857 date "2011-07-01" @default.
• W2037193857 modified "2023-09-23" @default.
• W2037193857 title "Homogeneous physio-behavioral visual and mouse-based biometric" @default.
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• W2037193857 doi "https://doi.org/10.1145/1993060.1993062" @default.
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