Leveraging Edge and Fog Resources While Complying with EU’s GDPR
Matilde Silva, Pedro C. Diniz, Gil Gonçalves
2025
Abstract
In Industry 4.0 environments, video-based monitoring systems must now reconcile performance demands with the privacy mandates of the European Union’s (EU) General Data Protection Regulation (GDPR). This paper presents a fault-tolerant edge/fog architecture designed to anonymize visual data at the point of capture, minimizing personal data exposure while maintaining low-latency analytics. Built on the IEC 61499 standard, the system uses DINASORE to run Function Blocks directly on edge devices, and T-Sync as an orchestrator that dynamically reallocates tasks in response to topology changes. Empirical evaluations demonstrate that the architecture reliably recovers from node loss and stays within resource limits even on modest hardware. Despite bottlenecks under heavy vision workloads, the results show the viability of deploying GDPR-compliant IIoT pipelines without offloading sensitive data to the cloud.
DownloadPaper Citation
in Harvard Style
Silva M., Diniz P. and Gonçalves G. (2025). Leveraging Edge and Fog Resources While Complying with EU’s GDPR. In Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-770-2, SciTePress, pages 518-525. DOI: 10.5220/0013781300003982
in Bibtex Style
@conference{icinco25,
author={Matilde Silva and Pedro Diniz and Gil Gonçalves},
title={Leveraging Edge and Fog Resources While Complying with EU’s GDPR},
booktitle={Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2025},
pages={518-525},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013781300003982},
isbn={978-989-758-770-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Leveraging Edge and Fog Resources While Complying with EU’s GDPR
SN - 978-989-758-770-2
AU - Silva M.
AU - Diniz P.
AU - Gonçalves G.
PY - 2025
SP - 518
EP - 525
DO - 10.5220/0013781300003982
PB - SciTePress