Load-Based Performance Analysis of Biometric Authentication Systems
Keywords:
Biometric systems, Queuing theory, Performance evaluation, Waiting time, Response time, ThroughputAbstract
The paper will assess the use of biometric authentication system with different levels of input load on a job base utilizing queuing theory. The study aims at examining three important performance parameters which are average waiting time, response time and throughput of single mode and multi-modal biometric systems. This study gives the empirical data of the behavior of the system under varying loads through mathematical modelling based on M/M/c and M/M/1 queuing model. The results indicate that the performance of the system is affected in an adverse operation gradient with the rates of arrival getting closer to the server capacity, and that the multi-modal systems have a longer processing time than the accuracy. This study will help in the maximization of the implementation of the biometric system in real life conditions.
References
Bailey, K. O., Okolica, J. S., & Peterson, G. L. (2014). User identification and authentication using multi-modal behavioral biometrics. Computers & Security, 43, 77-89. https://doi.org/10.1016/j.cose.2014.03.005
Buciu, I., & Gacsadi, A. (2016). Biometrics systems and technologies: A survey. International Journal of Computers Communications & Control, 11(3), 315-330. https://doi.org/10.15837/ijccc.2016.3.2556
Mitra, S., Savvides, M., & Brockwell, A. (2007). Statistical performance evaluation of biometric authentication systems using random effects models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4), 517-530. https://doi.org/10.1109/TPAMI.2007.1000
Ometov, A., et al. (2021). Continuous multimodal biometric authentication schemes: A systematic review. IEEE Access, 9, 34541-34567. https://doi.org/10.1109/ACCESS.2021.3062188
Nandakumar, K., & Jain, A. K. (2010). Fast multimodal biometric approach using dynamic fingerprint authentication and enhanced iris features. IEEE International Conference on Biometrics, 583-588. https://doi.org/10.1109/ICPR.2010.583
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