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Towards a minimum viable dataspace for the CEDS public sector: An initial implementation.

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Updated: Jun 28, 2025

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EPOPTIS: A Monitoring-as-a-Service Platform for Internet-of-Things Applications.

Petros Zervoudakis1, Nikolaos Karamolegkos1, Eleftheria Plevridi1,2

  • 1Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH), GR70013 Heraklion, Greece.

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Summary

This study introduces a Monitoring-as-a-Service platform to manage data from diverse Internet of Things (IoT) devices. It enhances security and efficiency using blockchain and automated workflows for intelligent ecosystems.

Keywords:
FIWAREblockchaindata integrityinternet of thingsmanagementmonitoringsmart contracts

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Area of Science:

  • Computer Science
  • Network Engineering
  • Data Management

Background:

  • The Internet of Things (IoT) era presents challenges due to device heterogeneity and resource constraints.
  • Security, privacy, and data management are critical concerns in interconnected smart ecosystems.
  • Existing solutions struggle to efficiently handle diverse IoT network data.

Purpose of the Study:

  • To propose a Monitoring-as-a-Service platform for comprehensive IoT data monitoring and management.
  • To address challenges posed by heterogeneous and constrained IoT devices.
  • To support diverse IoT-based applications through efficient data handling.

Main Methods:

  • Leveraging the FIWARE open-source framework for flexibility and scalability.
  • Integrating blockchain and smart contract technologies for robust data integrity verification.
  • Implementing automated workflows for systematic data filtering and labeling.

Main Results:

  • Demonstrated a comprehensive solution for collecting, storing, and processing IoT monitoring data.
  • Ensured data integrity and security through blockchain integration.
  • Evaluated performance in terms of CPU/RAM utilization and service latency.

Conclusions:

  • The proposed Monitoring-as-a-Service platform effectively manages heterogeneous IoT networks.
  • Blockchain and automated workflows enhance data integrity and processing efficiency.
  • The solution provides a scalable and flexible approach for IoT data management and application support.