TrustAIoT: A framework for building trustworthy AIoT platforms

In an increasingly connected world, each device is expected to be linked to the internet and, consequently, to other objects with which it can communicate. As the Internet of Things (IoT) expands, so do social, legal, and ethical concerns. Moreover, IoT systems are evolving to process data and provi...

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Detalhes bibliográficos
Autores: Braga Ortuño, Carlos Mario, Suárez-Bárcena Velázquez, Ángel, Serrano Martín, Manuel Ángel, Fernández-Medina Patón, Eduardo
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/46666
Acesso em linha:https://doi.org/10.1016/j.iot.2025.101751
https://www.sciencedirect.com/science/article/pii/S2542660525002641
https://hdl.handle.net/10578/46666
Access Level:acceso abierto
Palavra-chave:AI
AIoT
Architecture
Ethics
Framework
IoT
Platform
Trustworthy
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spelling TrustAIoT: A framework for building trustworthy AIoT platformsBraga Ortuño, Carlos MarioSuárez-Bárcena Velázquez, ÁngelSerrano Martín, Manuel ÁngelFernández-Medina Patón, EduardoAIAIoTArchitectureEthicsFrameworkIoTPlatformTrustworthyIn an increasingly connected world, each device is expected to be linked to the internet and, consequently, to other objects with which it can communicate. As the Internet of Things (IoT) expands, so do social, legal, and ethical concerns. Moreover, IoT systems are evolving to process data and provide recommendations based on their findings, a capability that stems from the integration of Artificial Intelligence (AI) and Machine Learning technologies. The convergence of IoT and AI (AIoT), along with the unique aspects of AIoT architectures that differ from non-IoT-enabled AI systems, necessitates a thorough review of specific considerations for building trustworthy AIoT systems. Ensuring trustworthiness in AIoT is crucial due to the increased complexity and potential vulnerabilities introduced by this convergence.This article introduces TrustAIoT, a structured framework for the development and long-term governance of trustworthy AIoT platforms. The framework integrates ethical, legal, and technical dimensions, and consists of both a multi-layer guideline and a lifecycle-oriented process tailored to the specific architectural characteristics of AIoT systems.Based on a systematic literature review, trustworthiness-related technical, ethical, and legal elements are cross-referenced and contrasted with the operational and architectural needs of AIoT environments, ensuring that all critical aspects are addressed. Challenges in applying these elements across heterogeneous architectures are analyzed, leading to the definition of a guideline for transferring trust principles across the different layers of an AIoT platform, and a process for constructing and maintaining such platforms. A platform is understood as an environment comprising infrastructure, tools, services, processes, and components for developing, deploying, and operating applications.The TrustAIoT framework consolidates these artifacts into a cohesive approach that supports trust-oriented decision-making throughout the platform lifecycle, from architectural design to project deployment.The proposed guideline and process form a unified framework that ensures high trustworthiness standards, thereby enabling the reliable development of multiple projects and applications within AIoT ecosystems.Elsevier202620262025info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.1016/j.iot.2025.101751https://www.sciencedirect.com/science/article/pii/S2542660525002641https://hdl.handle.net/10578/46666reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésDi4SPDS (PCI2023145980-2)KOSMOS-UCLM (PID2024-155363OB-C44)AURORA (SBPLY/24/180225/000074)RADAR (2025-GRIN-38447)subvención RED2024-154240-Tinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/466662026-05-27T07:36:41Z
dc.title.none.fl_str_mv TrustAIoT: A framework for building trustworthy AIoT platforms
title TrustAIoT: A framework for building trustworthy AIoT platforms
spellingShingle TrustAIoT: A framework for building trustworthy AIoT platforms
Braga Ortuño, Carlos Mario
AI
AIoT
Architecture
Ethics
Framework
IoT
Platform
Trustworthy
title_short TrustAIoT: A framework for building trustworthy AIoT platforms
title_full TrustAIoT: A framework for building trustworthy AIoT platforms
title_fullStr TrustAIoT: A framework for building trustworthy AIoT platforms
title_full_unstemmed TrustAIoT: A framework for building trustworthy AIoT platforms
title_sort TrustAIoT: A framework for building trustworthy AIoT platforms
dc.creator.none.fl_str_mv Braga Ortuño, Carlos Mario
Suárez-Bárcena Velázquez, Ángel
Serrano Martín, Manuel Ángel
Fernández-Medina Patón, Eduardo
author Braga Ortuño, Carlos Mario
author_facet Braga Ortuño, Carlos Mario
Suárez-Bárcena Velázquez, Ángel
Serrano Martín, Manuel Ángel
Fernández-Medina Patón, Eduardo
author_role author
author2 Suárez-Bárcena Velázquez, Ángel
Serrano Martín, Manuel Ángel
Fernández-Medina Patón, Eduardo
author2_role author
author
author
dc.subject.none.fl_str_mv AI
AIoT
Architecture
Ethics
Framework
IoT
Platform
Trustworthy
topic AI
AIoT
Architecture
Ethics
Framework
IoT
Platform
Trustworthy
description In an increasingly connected world, each device is expected to be linked to the internet and, consequently, to other objects with which it can communicate. As the Internet of Things (IoT) expands, so do social, legal, and ethical concerns. Moreover, IoT systems are evolving to process data and provide recommendations based on their findings, a capability that stems from the integration of Artificial Intelligence (AI) and Machine Learning technologies. The convergence of IoT and AI (AIoT), along with the unique aspects of AIoT architectures that differ from non-IoT-enabled AI systems, necessitates a thorough review of specific considerations for building trustworthy AIoT systems. Ensuring trustworthiness in AIoT is crucial due to the increased complexity and potential vulnerabilities introduced by this convergence.This article introduces TrustAIoT, a structured framework for the development and long-term governance of trustworthy AIoT platforms. The framework integrates ethical, legal, and technical dimensions, and consists of both a multi-layer guideline and a lifecycle-oriented process tailored to the specific architectural characteristics of AIoT systems.Based on a systematic literature review, trustworthiness-related technical, ethical, and legal elements are cross-referenced and contrasted with the operational and architectural needs of AIoT environments, ensuring that all critical aspects are addressed. Challenges in applying these elements across heterogeneous architectures are analyzed, leading to the definition of a guideline for transferring trust principles across the different layers of an AIoT platform, and a process for constructing and maintaining such platforms. A platform is understood as an environment comprising infrastructure, tools, services, processes, and components for developing, deploying, and operating applications.The TrustAIoT framework consolidates these artifacts into a cohesive approach that supports trust-oriented decision-making throughout the platform lifecycle, from architectural design to project deployment.The proposed guideline and process form a unified framework that ensures high trustworthiness standards, thereby enabling the reliable development of multiple projects and applications within AIoT ecosystems.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.iot.2025.101751
https://www.sciencedirect.com/science/article/pii/S2542660525002641
https://hdl.handle.net/10578/46666
url https://doi.org/10.1016/j.iot.2025.101751
https://www.sciencedirect.com/science/article/pii/S2542660525002641
https://hdl.handle.net/10578/46666
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Di4SPDS (PCI2023145980-2)
KOSMOS-UCLM (PID2024-155363OB-C44)
AURORA (SBPLY/24/180225/000074)
RADAR (2025-GRIN-38447)
subvención RED2024-154240-T
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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