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A Distributed Digital Object Architecture to Support Secure IoT Ecosystems

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Optimization and Learning (OLA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1173))

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Abstract

Security is one of the most challenging issues facing the Internet of Things. One of the most usual architecture for IoT ecosystems has three layers (Acquisition, Networks and Applications), and provides the security to the different elements of the IoT ecosystems through specific technology or techniques, available in the different layers. However, the deployment of security technology at each layer complicates the management and maintainability of the security credentials increasing the risk of information leak, greater manual intervention and complicates the maintainability of consistency of the sensitive data. In this paper we propose a new architecture model, where a fourth security layer has been added, containing all the security technology traditionally delegated to the other layers, removing them from other layers. This new model is supported by the widespread use of Digital Objects, covering all aspects including physical components, processes and sensed data.

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Acknowledgments

This paper was funded by the Spanish Ministerio de Ciencia, Innovación y Universidades and ERDF under contract RTI2018-100754-B-I00 (iSUN project).

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Authors and Affiliations

  1. University of Cádiz, Cádiz, Spain

    Angel Ruiz-Zafra & Roberto Magán-Carrión

Authors
  1. Angel Ruiz-Zafra
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  2. Roberto Magán-Carrión
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Corresponding author

Correspondence to Angel Ruiz-Zafra .

Editor information

Editors and Affiliations

  1. University of Cádiz, Cádiz, Spain

    Bernabé Dorronsoro

  2. University of Cádiz, Cádiz, Spain

    Patricia Ruiz

  3. University of Cádiz, Cádiz, Spain

    Juan Carlos de la Torre

  4. University of Cádiz, Cádiz, Spain

    Daniel Urda

  5. University of Lille, Lille, France

    El-Ghazali Talbi

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Ruiz-Zafra, A., Magán-Carrión, R. (2020). A Distributed Digital Object Architecture to Support Secure IoT Ecosystems. In: Dorronsoro, B., Ruiz, P., de la Torre, J., Urda, D., Talbi, EG. (eds) Optimization and Learning. OLA 2020. Communications in Computer and Information Science, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-41913-4_16

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  • DOI: https://doi.org/10.1007/978-3-030-41913-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41912-7

  • Online ISBN: 978-3-030-41913-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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