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Phonendo: A Platform for Publishing Wearable Data on DLT

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Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) (UCAmI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 594))

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Abstract

Modern intelligent health-based software nowadays is based on data-driven systems that collect data streams from wearable devices that perform continuous remote monitoring of patient parameters. The importance of such wearable devices and data streams is key because of their low cost, but also because they facilitate the building of a large number of solutions to multiple health-based problems. Despite of the easy manipulation of both, devices and their data streams; the necessary processes from collecting data to final analyses passing by data transformation and variable creation present an important flaw such as, it is the security of such data in applications that is mandatory. Distributed Ledger Technologies (DLT) enable systems to be endowed with characteristics such as resistance to information manipulation or resilience to the appearance of single points of failure. DLT have the potential to build wearable-based solutions offering characteristics that would allow building a wider range of possible solutions. This contribution introduces Phonendo, a platform for collecting data streams from wearable devices and publishing them on a DLT Infrastructure (DLTI). Phonendo is under development and here we focus on the presentation and justification of its interface layers, i.e., data collection and publication on a DLTI.

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Notes

  1. 1.

    Note that the acronym DLT refers to a technology while the acronym DLTI refers to the deployment of an infrastructure using this technology.

  2. 2.

    https://ipfs.io/.

  3. 3.

    https://blog.iota.org/energy-consumption-of-iota-2-0.

  4. 4.

    51% attacks on certain DLTs for (i) and (ii), social engineering attacks for (iii), or denial of service attacks for (iv).

  5. 5.

    https://libp2p.io/.

  6. 6.

    https://www.pine64.org/pinetime/.

  7. 7.

    https://leveljs.org/.

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Authors and Affiliations

  1. Universidad de Jaén, Jaén, Spain

    Francisco Moya, Luis Martínez & Fco Javier Estrella

Authors
  1. Francisco Moya
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  2. Luis Martínez
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  3. Fco Javier Estrella
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Corresponding author

Correspondence to Francisco Moya .

Editor information

Editors and Affiliations

  1. Castilla-La Mancha University, Ciudad Real, Spain

    José Bravo

  2. Computer Science Department, University of Chile, Santiago, Chile

    Sergio Ochoa

  3. CICESE, Ensenada, Mexico

    Jesús Favela

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Moya, F., Martínez, L., Estrella, F.J. (2023). Phonendo: A Platform for Publishing Wearable Data on DLT. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_100

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