Skip to main content

PAUDIT: A Distributed Data Architecture for Fitness Data

  • Conference paper
  • First Online:
Information and Cyber Security (ISSA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1166))

Included in the following conference series:

Abstract

Centralized data architectures are the predominant architectures used by systems today. Decentralized data architectures, making use of data link networks, allow users to store private data in personal online data stores (POD). When fitness data is stored in a POD, the user has full control over the data and may modify fitness data. Medical aid providers that makes use of fitness data for benefit calculations cannot trust fitness data in existing POD architectures. PAUDIT is an architectural model that describes a decentralized data architecture that audits changes to access control lists on POD servers. The audit information allows medical aid providers to verify if users may have changed fitness data. PAUDIT describes an architecture that allows medical aid providers to verify the validity of fitness data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://github.com/solid/node-solid-server.

  2. 2.

    https://github.com/solid.

References

  1. Cotton, V., Patel, M.S.: Gamification use and design in popular health and fitness mobile applications. Am. J. Health Promot. 33, 448–451 (2019)

    Article  Google Scholar 

  2. Patel, D., et al.: Participation in fitness-related activities of an incentive-based health promotion program and hospital costs: a retrospective longitudinal study. Am. J. Health Promot. 25, 341–348 (2011)

    Article  Google Scholar 

  3. Fereidooni, H., Frassetto, T., Miettinen, M., Sadeghi, A., Conti, M.: Fitness trackers: fit for health but unfit for security and privacy. In: 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), pp. 19–24 (2017)

    Google Scholar 

  4. Gines, K.: Getting up to speed with GDPR. Success. Meet. 67, 72–78 (2018)

    Google Scholar 

  5. Mansour, E., et al.: A demonstration of the solid platform for social web applications. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 223–226. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2016)

    Google Scholar 

  6. The Solid Project: Solid (2017). https://solid.mit.edu. Accessed 19 Jan 2018

  7. Hevner, A., March, S.T., Park, J., Ram, S.: Design science research in information systems. MIS Q. 28, 75–105 (2004)

    Article  Google Scholar 

  8. Pfeffers, K., et al.: The design science research process: a model for producing and presenting information systems research. In: Proceedings of the First International Conference on Design Science Research in Information Systems and Technology (DESRIST 2006), Claremont, CA, USA, pp. 83–106 (2006)

    Google Scholar 

  9. Mohn, E.: Semantic Web. Salem Press Encyclopedia of Science (2017)

    Google Scholar 

  10. W3C: Semantic Web - W3C (2015). https://www.w3.org/standards/semanticweb/. Accessed 18 Apr 2019

  11. W3C: WebID - W3C Wiki (2018). https://www.w3.org/wiki/WebID. Accessed 19 Apr 2019

  12. W3C: WebAccessControl - W3C Wiki (2018). https://www.w3.org/wiki/WebAccessControl. Accessed 19 Apr 2019

  13. W3C: Cross-origin resource sharing (2014). https://www.w3.org/TR/cors/. Accessed 19 Apr 2019

  14. Kellogg, S.: Every breath you take: data privacy and your wearable fitness device. J. Mo. Bar 72, 76–82 (2016)

    Google Scholar 

  15. Stenberg, D.: Curl - how to user. https://curl.haxx.se/docs/manpage.html. Accessed 22 Apr 2019

  16. Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37, 337–355 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jaco du Toit .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

du Toit, J. (2020). PAUDIT: A Distributed Data Architecture for Fitness Data. In: Venter, H., Loock, M., Coetzee, M., Eloff, M., Eloff, J. (eds) Information and Cyber Security. ISSA 2019. Communications in Computer and Information Science, vol 1166. Springer, Cham. https://doi.org/10.1007/978-3-030-43276-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-43276-8_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43275-1

  • Online ISBN: 978-3-030-43276-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics