Digital Twins for Security-based Assurance of Edge-Cloud Software – a Data Platform Approach

This paper presents a conceptual view on a data platform of a distributed digital twin (DT) architecture for edgecloud software systems, of which entities are provided and built by multiple stakeholders in a supply chain. We focus on exploring data platform approaches for DTs to support security-based assurance development and operation activities in an integrated manner by considering a holistic view of data, AI/ML models and service-based components as part of the edge-cloud software.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-15
DOI
https://doi.org/10.5281/zenodo.19679017
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

Digital Twins for Security-based Assurance of Edge-Cloud Software – a Data Platform Approach

Hong‐Linh Truong, Phu Nguyen
Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

Digital Twins for Security-based Assurance of Edge-Cloud Software – a Data Platform Approach

Hong‐Linh Truong, Phu Nguyen
article en

Abstract

This paper presents a conceptual view on a data platform of a distributed digital twin (DT) architecture for edgecloud software systems, of which entities are provided and built by multiple stakeholders in a supply chain. We focus on exploring data platform approaches for DTs to support security-based assurance development and operation activities in an integrated manner by considering a holistic view of data, AI/ML models and service-based components as part of the edge-cloud software.

Zenodo (CERN European Organization for Nuclear Research)
SINTEF (NO), Aalto University (FI)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Digital Transformation in Industry
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