PoAh 2.0: AI-empowered dynamic authentication based adaptive blockchain consensus for IoMT-edge workflow

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 : 2024-07-31 DOI:10.1016/j.future.2024.07.048
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Abstract

This paper introduces a significant advancement in the Proof of Authentication (PoAh) consensus algorithm, designed specifically for resource-constrained Internet of Things (IoT) devices. Building upon the foundations of PoAh consensus, this enhanced iteration, known as PoAh 2.0, integrates Artificial Intelligence (AI) at the block creator node level. This novel approach allows for the generation of block transactions embedded with AI-determined sensitivity and other applicable transaction-related metadata, a pioneering concept in this domain. The verifier node, a trusted entity, is tasked with verifying incoming blocks, utilizing the block header and its metadata information to determine authenticity while preserving the privacy of the content of the block’s data. A core innovation of PoAh 2.0 is its dynamic authentication mechanism, which adapts to the sensitivity level of the data within each block, behaving in an adaptive way based on the situation. AI plays a crucial role in this process, ensuring the block’s integrity and security are maintained. To demonstrate the efficacy of this advanced AI-enabled PoAh 2.0 consensus, we conducted a case study in an Internet of Medical Things (IoMT)-based eHealth scenario. The results from this study reveal that our developed dynamic authentication technique not only significantly enhances the original PoAh version but also establishes a new benchmark in block validation and security for eHealth applications. The integration of AI and improved dynamic authentication, calibrated to the security needs of each block, marks a novel and significant stride in blockchain research. This development not only enriches the current understanding of blockchain applications in IoT, but also sets a new direction for future research in secure and efficient blockchain implementations in the IoMT-Edge centric eHealth landscape.

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PoAh 2.0:基于自适应区块链共识的人工智能动态身份验证,适用于物联网技术边缘工作流
本文介绍了认证证明(PoAh)共识算法的重大进展,该算法专为资源受限的物联网(IoT)设备而设计。在 PoAh 共识的基础上,这种增强型迭代(称为 PoAh 2.0)在区块创建节点级别集成了人工智能(AI)。这种新颖的方法允许生成嵌入人工智能确定的敏感度和其他适用的交易相关元数据的区块交易,这是该领域的一个开创性概念。验证器节点是一个受信任的实体,其任务是验证传入的区块,利用区块头及其元数据信息来确定真实性,同时保护区块数据内容的隐私。PoAh 2.0 的一项核心创新是其动态验证机制,该机制可适应每个区块内数据的敏感程度,并根据情况采取自适应的行为。人工智能在这一过程中发挥了关键作用,确保了区块的完整性和安全性。为了证明这种先进的人工智能 PoAh 2.0 共识的有效性,我们在一个基于医疗物联网(IoMT)的电子健康场景中进行了案例研究。研究结果表明,我们开发的动态验证技术不仅大大增强了原始 PoAh 版本,还为电子医疗应用的区块验证和安全性建立了新的基准。根据每个区块的安全需求对人工智能和改进的动态身份验证进行整合,标志着区块链研究迈出了新颖而重要的一步。这一发展不仅丰富了当前对物联网中区块链应用的理解,还为未来在以物联网技术边缘为中心的电子健康领域安全、高效的区块链实施研究确定了新的方向。
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来源期刊
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.
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