Simulation of a Characteristics Identification Algorithm
Wen Chuan Yang, Rui Li, Zhi Dong Shang · Advanced materials research · 2014
Keystroke rhythm identification, which extracts biometric characteristics through keyboards without additional 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 of the improved model decreases a lot in the mobile phone system, and its growth of imposter pass rate is slower than the Rick Joyce models. 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.