Open standards, open specifications, and open-source approaches for interoperability in ID systems

The primary purpose of this paper is to conduct an analysis of the open standards, specifications, and approaches that facilitate interoperability of digital identity systems. In this paper we discuss and analyse a range of protocols, standards, and organisations including Open Standards for Identity APIs (OSIA), MOSIP (Modular Open Source Identity Platform), GovStack, Trust over IP Foundation (ToIP), and Electronic Identification, Authentication and Trust Services (eIDAS). We explore how each of these supports the fundamental requirements of digital identity systems through their architectural choices, governance models, and implementation methodologies.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-01
DOI
https://doi.org/10.1049/icp.2025.2985
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Open standards, open specifications, and open-source approaches for interoperability in ID systems

Mark Hooper, Jay Iyer, Carsten R. Maple
IET conference proceedings.
Scientific Computing and Data Management
article

Open standards, open specifications, and open-source approaches for interoperability in ID systems

Mark Hooper, Jay Iyer, Carsten R. Maple
article en

Abstract

The primary purpose of this paper is to conduct an analysis of the open standards, specifications, and approaches that facilitate interoperability of digital identity systems. In this paper we discuss and analyse a range of protocols, standards, and organisations including Open Standards for Identity APIs (OSIA), MOSIP (Modular Open Source Identity Platform), GovStack, Trust over IP Foundation (ToIP), and Electronic Identification, Authentication and Trust Services (eIDAS). We explore how each of these supports the fundamental requirements of digital identity systems through their architectural choices, governance models, and implementation methodologies.

IET conference proceedings.Vol. 2025(22)
The Alan Turing Institute (GB)
Openalex Percentile: Top 73%
Scientific Computing and Data Management
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