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Analysis of keystroke dynamics applied to biometric authentication methods using evolutionary computation techniques

Grant number: 06/04629-7
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2006
Effective date (End): November 30, 2007
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Francisco José Monaco
Grantee:Felipe Sakurai
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Recent works in the area of computer system security have layed attention on individual characteristics of keystroke dynamics for both user identification and user authentication. Experimental results suggest, for instance, that patterns of intervals between key pressing and typing rhythm are potentially relevant for this purpose. This work is aimed at the investigation of approaches to determinate individualized combination of characteristics for authentication tailored to optimize false acception and rejection rates of currently studied methods. For this purpose, evolutionary computation techniques based on genetic algorithms are used. (AU)

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