用于安全数据管理的新型语义物联网中间件:区块链和人工智能驱动的情境感知

Future Internet Pub Date : 2024-01-07 DOI:10.3390/fi16010022
M. Elkhodr, Samiya Khan, E. Gide
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引用次数: 0

摘要

在物联网(IoT)的现代数字环境中,数据互操作性和异构性带来了严峻的挑战,尤其是随着物联网系统和网络的复杂性不断增加。在确保数据安全和用户信任的同时,应对这些挑战至关重要。本文提出了一种用于医疗保健的新型语义物联网中间件(SIM)。该中间件的架构包括以下主要流程:数据生成、语义注释、安全加密和语义操作。数据生成模块促进无缝数据和事件来源,而语义注释组件则分配结构化词汇以实现统一性。SIM 采用区块链技术提供更强的数据安全性,其分层方法可确保物联网系统具有强大的互操作性和以用户为中心的直观操作。安全加密模块提供数据保护,而语义操作模块则是数据处理和集成的基础。该中间件的一个显著特点是其精通服务集成,利用用户反馈增强语义描述。此外,SIM 还集成了人工智能(AI)反馈机制,以不断完善和优化中间件的运行效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring data security and user trust, is pivotal. This paper proposes a novel Semantic IoT Middleware (SIM) for healthcare. The architecture of this middleware comprises the following main processes: data generation, semantic annotation, security encryption, and semantic operations. The data generation module facilitates seamless data and event sourcing, while the Semantic Annotation Component assigns structured vocabulary for uniformity. SIM adopts blockchain technology to provide enhanced data security, and its layered approach ensures robust interoperability and intuitive user-centric operations for IoT systems. The security encryption module offers data protection, and the semantic operations module underpins data processing and integration. A distinctive feature of this middleware is its proficiency in service integration, leveraging semantic descriptions augmented by user feedback. Additionally, SIM integrates artificial intelligence (AI) feedback mechanisms to continuously refine and optimise the middleware’s operational efficiency.
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