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Application of a Dynamic Identity Authentication Model Based on an Improved Keystroke Rhythm Algorithm

By Wenchuan YANG and Fang FANG

Abstract

Keystroke rhythm identification, which extracts biometric characteristics through keyboards without addi-tional expensive devices, is a kind of biometric identification technology. The paper proposes a dynamic identity authentication model based on the improved keystroke rhythm algorithm in Rick Joyce model and implement this model in a mobile phone system. The experimental results show that comparing with the original model, the false alarm rate (FAR) of the improved model decreases a lot in the mobile phone system, and its growth of imposter pass rate (IPR) is slower than the Rick Joyce model’s. The improved model is more suitable for small memory systems, and it has better performance in security and dynamic adaptation. This improved model has good application value

Topics: Biometric Identification Technology, Keystroke Rhythm, Identity Authentication, Keystroke Latency Time, IPR, FAR, LCC:Electronic computers. Computer science, LCC:QA75.5-76.95, LCC:Instruments and machines, LCC:QA71-90, LCC:Mathematics, LCC:QA1-939, LCC:Science, LCC:Q, DOAJ:Computer Science, DOAJ:Technology and Engineering
Publisher: Scientific Research Publishing
Year: 2009
DOI identifier: 10.4236/ijcns.2009.28082
OAI identifier: oai:doaj.org/article:aac42171dee24996bf724a5eeea37530
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