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Innovative Compression Plus Confusion Scheme for Digital Images Used in Smart Cities

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Smart Cities (ICSC-Cities 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1938))

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Abstract

In the context of smart cities, where the deployment of surveillance systems and security cameras is becoming increasingly ubiquitous, the efficient management of digital images and their confidentiality has become a critical challenge. In this work, we present an innovative scheme which considers two components: compressive sensing and S-Boxes for image compression and confusion property in the Shannon’s information theory context, respectively. The integration of these two building blocks provides a comprehensive solution for the efficient and secure transmission of image data in urban environments. Our scheme expands the compressed image into a 24-bit RGB image and uses three S-Boxes to replace the information of each color channel. One of the new features is that the S-Boxes evolve based on a key. In this sense, the scheme offers a solution for smart cities aiming to optimize the management of digital image data and simultaneously achieving the security of transmitted information. The processed images have been analyzed, and obtained to show that our scheme brings perceptual and cryptographic security to digital images, without compromising the recovered image. Its implementation can significantly contribute to efficiency and security, in the use of surveillance cameras in modern urban environments of smart cities.

Supported by SIP-IPN and CONAHCYT.

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Acknowledgement

Aboytes-González is a postdoctoral fellow of CONAHCYT (México). This work was funded by CONAHCYT under grant 321068 and by SIP-IPN under grants 20232816 and 20230990.

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Authors and Affiliations

  1. Universidad Politécnica de San Luis Potosí, San Luis Potosí, Mexico

    J. A. Aboytes-González

  2. Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México, Mexico

    J. A. Aboytes-González, E. Ibarra-Olivares, G. Gallegos-García & P. J. Escamilla-Ambrosio

  3. Universidad Autónoma de San Luis Potosí, Coordinación Académica Región Altiplano Oeste, San Luis Potosí, Mexico

    M. T. Ramírez-Torres

Authors
  1. J. A. Aboytes-González
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  2. E. Ibarra-Olivares
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  3. M. T. Ramírez-Torres
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  4. G. Gallegos-García
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  5. P. J. Escamilla-Ambrosio
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Correspondence to G. Gallegos-García .

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Editors and Affiliations

  1. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

  2. Universidad de Valladolid, Soria, Soria, Spain

    Luis Hernández Callejo

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Aboytes-González, J.A., Ibarra-Olivares, E., Ramírez-Torres, M.T., Gallegos-García, G., Escamilla-Ambrosio, P.J. (2024). Innovative Compression Plus Confusion Scheme for Digital Images Used in Smart Cities. In: Nesmachnow, S., Hernández Callejo, L. (eds) Smart Cities. ICSC-Cities 2023. Communications in Computer and Information Science, vol 1938. Springer, Cham. https://doi.org/10.1007/978-3-031-52517-9_19

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  • DOI: https://doi.org/10.1007/978-3-031-52517-9_19

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  • Online ISBN: 978-3-031-52517-9

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