Colored Petri nets for Modeling Processes of Biometric Identification System

Abstract. The article discusses some issues of modeling and digitalization of real-time systems using Petri nets (Petrosyan et al., 2025). The identification and secret key generation system is modeled using the Colored Petri net, which is a modern extension of the classical Petri net. The main goal of modeling the identification and secret key generation system using the Colored Petri net is to identify the presence of errors and randomness, the behaviour of the functioning, in the efficiency of the model. The Colored Petri net (CPN) graph of the identification and secret key generation system describes the workflow, logical actions much more simply, since Petri nets are convenient mechanisms for modeling, checking, validating complex systems. The article discusses some issues of modeling and digitalization of real-time systems using Petri nets. The identification and secret key generation system is modeled using the Colored Petri net, which is a modern extension of the classical Petri net (Petrosyan et al., 2025). The main goal of modeling the identification and secret key generation system using the Colored Petri net is to identify the presence of errors and randomness, the behavior of the functioning, in the efficiency of the model. The Colored Petri net (CPN) graph of the identification and secret key generation system describes the workflow, logical actions much more simply, since Petri nets are convenient mechanisms for modeling, checking, validating complex systems (Petrosyan et al., 2025).

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-09-04
DOI
https://doi.org/10.5194/isprs-archives-xlviii-2-w9-2025-207-2025
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
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article

Colored Petri nets for Modeling Processes of Biometric Identification System

V. Yu. Burmin, A. V. Gaboutchian, Goharik R. Petrosyan, Vladimir Alexandrovich Knyaz et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Cognitive Computing and Networks
article

Colored Petri nets for Modeling Processes of Biometric Identification System

V. Yu. Burmin, A. V. Gaboutchian, Goharik R. Petrosyan, Vladimir Alexandrovich Knyaz, Andrey M. Avetisyan
article en

Abstract

Abstract. The article discusses some issues of modeling and digitalization of real-time systems using Petri nets (Petrosyan et al., 2025). The identification and secret key generation system is modeled using the Colored Petri net, which is a modern extension of the classical Petri net. The main goal of modeling the identification and secret key generation system using the Colored Petri net is to identify the presence of errors and randomness, the behaviour of the functioning, in the efficiency of the model. The Colored Petri net (CPN) graph of the identification and secret key generation system describes the workflow, logical actions much more simply, since Petri nets are convenient mechanisms for modeling, checking, validating complex systems. The article discusses some issues of modeling and digitalization of real-time systems using Petri nets. The identification and secret key generation system is modeled using the Colored Petri net, which is a modern extension of the classical Petri net (Petrosyan et al., 2025). The main goal of modeling the identification and secret key generation system using the Colored Petri net is to identify the presence of errors and randomness, the behavior of the functioning, in the efficiency of the model. The Colored Petri net (CPN) graph of the identification and secret key generation system describes the workflow, logical actions much more simply, since Petri nets are convenient mechanisms for modeling, checking, validating complex systems (Petrosyan et al., 2025).

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-2/W9-2025
Peoples' Friendship University of Russia (RU), Moscow Institute of Physics and Technology (RU), Institute of Physics and Technology (RU), Schmidt Institute of Physics of the Earth (RU), National Academy of Sciences of Armenia (AM)
Openalex Percentile: Top 88%
Cognitive Computing and Networks
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