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Under the Spotlight! Facial Recognition Applications in Prison Security: Bayesian Modeling and ISO27001 Standard Implementation

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Applied Informatics (ICAI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1874))

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Abstract

This article highlights the importance of using Bayesian models and adhering to the ISO27001 standard in developing a web application to enhance prison security through facial recognition techniques. The proposed approach includes several key stages: 1. Identify the functional and non-functional requirements of the application, ensuring alignment with the desired objectives. 2. Design the application architecture and carefully select facial recognition techniques and Bayesian models that best suit the intended purpose. 3. Implement the application and perform thorough unit and integration testing to ensure functionality and compatibility. 4. Performed an experimental evaluation of the application in a controlled test environment, using performance and security metrics as benchmarks. The results demonstrate that using a web application integrated with a Bayesian model, in conjunction with adherence to the standardized practices outlined in ISO27001, enables the proactive identification of risks and threats. As a result, it serves as a valuable tool for mitigating prison insecurity.

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Author information

Authors and Affiliations

  1. Technological University ECOTEC, Samborondon, 092302, Ecuador

    Diego Donoso & Gino Cornejo

  2. Central University of Ecuador, Quito, 011702, Ecuador

    Carlos Calahorrano

  3. UNAE University, Azogues, 030105, Ecuador

    Santiago Donoso

  4. Technological University ISRAEL, Quito, 170516, Ecuador

    Erika Escobar

Authors
  1. Diego Donoso
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  2. Gino Cornejo
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  3. Carlos Calahorrano
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  4. Santiago Donoso
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  5. Erika Escobar
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Corresponding author

Correspondence to Diego Donoso .

Editor information

Editors and Affiliations

  1. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

  2. Universidad Ecotec, Guayaquil, Ecuador

    Marcelo Leon

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Donoso, D., Cornejo, G., Calahorrano, C., Donoso, S., Escobar, E. (2024). Under the Spotlight! Facial Recognition Applications in Prison Security: Bayesian Modeling and ISO27001 Standard Implementation. In: Florez, H., Leon, M. (eds) Applied Informatics. ICAI 2023. Communications in Computer and Information Science, vol 1874. Springer, Cham. https://doi.org/10.1007/978-3-031-46813-1_28

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  • DOI: https://doi.org/10.1007/978-3-031-46813-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46812-4

  • Online ISBN: 978-3-031-46813-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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