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DLT Architecture Proposal for IoT Applications Based on Data Streams

In: Smart and Secure Embedded and Mobile Systems

Author

Listed:
  • Francisco Moya

    (Universidad de Jaén)

  • Luis Martínez

    (Universidad de Jaén)

  • Fco Javier Estrella

    (Universidad de Jaén)

  • Jorge Marx Gómez

    (Carl von Ossietzky Universität Oldenburg)

  • Rafael A. Espin

    (Autonomous University of Coahuila)

Abstract

Millions of sensor-based devices are now continuously transmitting data, which is key for solving real-world situations. In the modern era, devices and their generated data streams are crucial because of their low cost combined with east implementation. Despite the ease with which both devices and their data streams may be altered, the processes required to transfer data collected to final analysis—which involve data transformation and variable creation—present a significant issue to research since such data must be secured in applications. Systems can be endowed with characteristics like resilience against the advent of single points of failure or resistance to information manipulation by means of distributed ledger technologies (DLT). DLT has the capacity to create sensor-based solutions with properties that would enable the creation of a broader variety of potential solutions. This contribution introduces a platform for gathering data streams from sensor-based devices and publishing them on a DLT infrastructure (DLTI). We present and justify the platform’s interface layers, i.e., data gathering and publication on a DLTI.

Suggested Citation

  • Francisco Moya & Luis Martínez & Fco Javier Estrella & Jorge Marx Gómez & Rafael A. Espin, 2024. "DLT Architecture Proposal for IoT Applications Based on Data Streams," Progress in IS, in: Jorge Marx Gómez & Anael Elikana Sam & Devotha Godfrey Nyambo (ed.), Smart and Secure Embedded and Mobile Systems, pages 337-344, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-56603-5_29
    DOI: 10.1007/978-3-031-56603-5_29
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    Keywords

    IoT; Data streams; DLT;
    All these keywords.

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