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Design of a Kitchen-Monitoring and Decision-Making System to Support AAL Applications.

Sensors (Basel, Switzerland)ยท2021
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Related Experiment Video

Updated: Nov 10, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Identification of IoT Actors.

Suada Hadzovic1, Sasa Mrdovic1, Milutin Radonjic2

  • 1Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary

The Internet of Things (IoT) presents privacy challenges. This research identifies IoT actors using a new five-computing layer model to clarify responsibilities for General Data Protection Regulation (GDPR) compliance.

Keywords:
GDPRInternet of thingsIoT actorcomputingdata manager

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Area of Science:

  • Computer Science
  • Information Security
  • Data Privacy

Background:

  • The Internet of Things (IoT) offers opportunities but introduces significant privacy and data protection concerns.
  • The General Data Protection Regulation (GDPR) is a key regulatory framework for data protection globally.
  • Understanding the roles of data controllers and processors is crucial for GDPR compliance, yet IoT actor relationships are often unclear.

Purpose of the Study:

  • To clarify the roles and responsibilities of actors within the Internet of Things (IoT) ecosystem concerning data protection.
  • To address the challenges in assigning accountability for privacy compliance in the evolving IoT landscape.
  • To investigate the impact of shifting computing paradigms (cloud to edge) on IoT actors' responsibilities.

Main Methods:

  • Proposed a novel five-computing layer IoT model: cloud, fog, edge, mist, and dew.
  • Analyzed the interactions and relationships between different IoT actors within this layered model.
  • Mapped potential data manager roles to specific layers and actors in the IoT architecture.

Main Results:

  • The proposed five-computing layer model provides a structured framework for identifying IoT actors.
  • The research highlights how the distribution of computing power influences the definition and responsibilities of IoT actors.
  • Clear identification of IoT actors and their data manager roles is essential for GDPR compliance.

Conclusions:

  • Identifying IoT actors based on their data manager roles within the new five-computing layer model aids in assigning accountability.
  • This approach helps in determining specific responsibilities for data protection and privacy compliance among IoT stakeholders.
  • The study provides a foundation for better regulatory adherence in the complex and dynamic IoT environment.