International Journal of Bioinformatics and Biomedical Engineering
Articles Information
International Journal of Bioinformatics and Biomedical Engineering, Vol.2, No.1, Jan. 2016, Pub. Date: Jan. 9, 2016
Application of Colored Petri Nets for Modeling of Biometric Identification Protocol with Random Parameter
Pages: 19-24 Views: 3385 Downloads: 1171
Authors
[01] G. R. Petrosyan, Institute for Informatics and Automation Problems of NAS RA, International Scientific - Educational Centre of NAS RA, Yerevan, Armenia.
[02] L. A. Ter-Vardanyan, Institute for Informatics and Automation Problems of NAS RA, International Scientific - Educational Centre of NAS RA, Yerevan, Armenia.
Abstract
Biometric Identification Protocol with Random Parameter is modelled in the current paper by using Petri Nets, namely with the modern extension of Petri Nets-Colored Petri Nets. The purpose of modelling Biometric Identification Protocol with Random Parameter by the use of Petri Nets is to reveal the following aspects of the functioning model: The efficiency of the model; Behaviour; The existence of mistakes and accidents; Whether it is possible to simplify the system or substitute its separate components for more perfect components not breaking the general functioning of the system. The use of mathematical markings introduced in the paper shows that Colored Petri Net modeling the process of Biometric Identification Protocol with Random Parameter is identified with the Colored Petri Net modeling the process of Biometric Identification System depicted in [12]. In this paper the model of Colored Petri Net describes the identification process with Random Parameter much simpler.
Keywords
Petri Net (PN), Colored Petri Net (CPN), Position, Transition, Arc, Biometric Identification Protocol with Random Parameter, Channel with Random Parameter
References
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[12] G.R. Petrosyan, L.A. Ter-Vardanyan, A.V. Gaboutchian, “Modeling of Biometric Identification System using the Colored Petri Nets” - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W6, 2015 Photogrammetric techniques for video surveillance, biometrics and biomedicine, 25–27 May 2015, Moscow, Russia.
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