TrustAIoT: A framework for building trustworthy AIoT platforms

IF 7.6 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Internet of Things Pub Date : 2025-09-08 DOI:10.1016/j.iot.2025.101751

Carlos Mario Braga , Ángel Suarez-Bárcena , Manuel A. Serrano , Eduardo Fernández-Medina

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引用次数: 0

Abstract

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.

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TrustAIoT：构建可信AIoT平台的框架

在一个联系日益紧密的世界里，每一台设备都有望与互联网相连，从而与其他可以与之通信的物体相连。随着物联网（IoT）的发展，社会、法律和伦理方面的担忧也在增加。此外，物联网系统正在演变为处理数据并根据其发现提供建议，这种能力源于人工智能（AI）和机器学习技术的集成。物联网和人工智能（AIoT）的融合，以及AIoT架构与非物联网支持的人工智能系统不同的独特方面，需要对构建值得信赖的AIoT系统的具体考虑因素进行全面审查。由于这种融合增加了复杂性和潜在的漏洞，确保AIoT中的可信度至关重要。本文介绍了TrustAIoT，这是一个用于开发和长期治理可信AIoT平台的结构化框架。该框架集成了道德、法律和技术维度，并由多层指导方针和面向生命周期的流程组成，该流程针对AIoT系统的特定架构特征进行了定制。基于系统的文献回顾，与信任相关的技术、道德和法律要素被交叉引用，并与AIoT环境的运营和架构需求进行对比，确保所有关键方面都得到解决。本文分析了在异构体系结构中应用这些元素所面临的挑战，从而定义了在AIoT平台的不同层之间传递信任原则的指导方针，以及构建和维护此类平台的流程。平台被理解为包含用于开发、部署和操作应用程序的基础设施、工具、服务、流程和组件的环境。TrustAIoT框架将这些构件合并为一个内聚的方法，该方法在整个平台生命周期（从体系结构设计到项目部署）中支持面向信任的决策。建议的指南和流程形成了一个统一的框架，确保了高可信度标准，从而使AIoT生态系统内多个项目和应用的可靠开发成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Internet of Things Multiple-

CiteScore

3.60

自引率

5.10%

发文量

115

审稿时长

37 days

期刊介绍： Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.