Research of the Keystroke Rhythm Algorithm Using in Mobile Phone System
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. Keystroke rhythm identification, which extracts biometric characteristics through keyboards without additional expensive devices, is a kind of biometric identification technology. 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.
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Document Type: Research Article
Publication date: March 1, 2012
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