Federated Governance and Decentralized Identities for Participatory Sensing Data Mesh

Sensor-driven data meshes are crucial for continuous data streams in the Industrial Internet-of-Things (IIoT). Yet establishing trust and robust governance remains a challenge in participatory and mobile crowd sensing. This paper presents a framework for automated onboarding of organizations and credential management based on federated governance and decentralized identities. The proposed design leverages federated governance, decentralized membership voting, credential issuance, and authentication to guarantee trust between coalition members in a data mesh network. As a result, the framework fosters trust, simplifies domain integration, and ensures secure collaboration in sensor-driven data mesh.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/icbc64466.2025.11114524
Primary Topic
Philosophy and Phenomenology Studies
Type
article
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article

Federated Governance and Decentralized Identities for Participatory Sensing Data Mesh

Philosophy and Phenomenology Studies
article

Federated Governance and Decentralized Identities for Participatory Sensing Data Mesh

article en

Abstract

Sensor-driven data meshes are crucial for continuous data streams in the Industrial Internet-of-Things (IIoT). Yet establishing trust and robust governance remains a challenge in participatory and mobile crowd sensing. This paper presents a framework for automated onboarding of organizations and credential management based on federated governance and decentralized identities. The proposed design leverages federated governance, decentralized membership voting, credential issuance, and authentication to guarantee trust between coalition members in a data mesh network. As a result, the framework fosters trust, simplifies domain integration, and ensures secure collaboration in sensor-driven data mesh.

University of Zurich (CH), Embedded Systems (United States) (US)
Reduced inequalities
Openalex Percentile: Top 35%
Philosophy and Phenomenology Studies
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