利用IOTA分布式账本技术提升电子医疗卓越性：在下一代雾驱动系统中保持数据完整性

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-02-12 DOI:10.1016/j.future.2025.107755

Waqas Ahmed , Waseem Iqbal , Ammar Hassan , Awais Ahmad , Farhan Ullah , Gautam Srivastava

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引用次数: 0

摘要

确保数据完整性对于基于物联网的医疗保健和情感护理服务至关重要，这些服务利用雾计算使资源和服务更接近网络边缘。然而，这种接近性增加了数据篡改、丢失和未经授权访问的风险。为了减轻这些风险，散列图、大链数据库、IOTA（物联网应用程序）和区块链等分布式账本技术（DLT）平台正在研究它们在雾计算环境中增强数据完整性的潜力。本研究提出了一个框架，旨在利用IOTA技术确保基于物联网的医疗保健和情感护理服务中的数据完整性。IOTA采用了一种被称为Tangle的有向a循环图（DAG）结构，为数据存储和共享提供了一种安全、分散和防篡改的方法。与传统的区块链不同，IOTA的共识机制在没有矿工的情况下运行，提供了适合物联网环境的改进的可扩展性和效率。我们提出的框架利用IOTA的能力，为在雾计算环境中维护数据完整性提供了一个强大的解决方案。评估结果证明了该框架在增强基于物联网的医疗保健和情感护理服务的数据完整性方面的可行性和有效性。尽管IOTA通过使未经授权的数据更改复杂化来显着提高数据完整性，但必须承认，完全不变性受到各种因素的影响，例如共识机制和网络参与者的数量，类似于在其他dlt中观察到的局限性。

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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Elevating e-health excellence with IOTA distributed ledger technology: Sustaining data integrity in next-gen fog-driven systems

Ensuring data integrity is crucial for IoT-based healthcare and emotion care services, which utilize Fog computing to bring resources and services closer to the network edge. This proximity, however, increases the risks of data tampering, loss, and unauthorized access. To mitigate these risks, Distributed Ledger Technology (DLT) platforms such as Hash graph, Big chain-DB, IOTA (Internet of Things Application) and Blockchain are being investigated for their potential to enhance data integrity within Fog computing environments. This study presents a framework designed to ensure data integrity in IoT-based healthcare and emotion care services by leveraging IOTA technology. IOTA, which employs a directed a-cyclic graph (DAG) structure known as the Tangle, provides a secure, decentralized and tamper-resistant method for data storage and sharing. Unlike traditional blockchain, IOTA’s consensus mechanism operates without miners, offering improved scalability and efficiency suitable for IoT environments. Our proposed framework exploits IOTA’s capabilities to deliver a robust solution for maintaining data integrity in Fog computing contexts. The evaluation results demonstrate the framework’s feasibility and effectiveness in enhancing data integrity for IoT-based healthcare and emotion care services. Although IOTA significantly improves data integrity by complicating unauthorized data alterations, it is essential to acknowledge that complete immutability is influenced by various factors, such as consensus mechanisms and the number of network participants, similar to the limitations observed in other DLTs.

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.