Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future directions

IF 2.1 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Intelligent Systems Pub Date : 2023-01-01 DOI:10.1515/jisys-2022-0267

Aya Hamid Ameen, M. A. Mohammed, A. N. Rashid

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引用次数: 5

Abstract

Abstract The Internet of medical things (IoMT) is a modern technology that is increasingly being used to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks, healthcare centers and patients face privacy and security challenges. A safe IoMT environment has been used by combining blockchain (BC) technology with artificial intelligence (AI). However, the services of the systems are costly and suffer from security and privacy problems. This study aims to summarize previous research in the IoMT and discusses the roles of AI, BC, and cybersecurity in the IoMT, as well as the problems, opportunities, and directions of research in this field based on a comprehensive literature review. This review describes the integration schemes of AI, BC, and cybersecurity technologies, which can support the development of new systems based on a decentralized approach, especially in healthcare applications. This study also identifies the strengths and weaknesses of these technologies, as well as the datasets they use.

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医疗物联网中的人工智能技术、区块链和网络安全维度:机遇、挑战和未来方向

医疗物联网(IoMT)是一种现代技术，越来越多地用于提供良好的医疗保健服务。由于IoMT设备容易受到网络攻击，医疗中心和患者面临隐私和安全方面的挑战。通过将区块链(BC)技术与人工智能(AI)相结合，使用了安全的物联网环境。然而，这些系统的服务成本很高，并且存在安全和隐私问题。本研究旨在总结前人在物联网领域的研究成果，在综合文献综述的基础上，探讨人工智能、BC和网络安全在物联网领域的作用，以及该领域的问题、机遇和研究方向。本文介绍了AI、BC和网络安全技术的集成方案，这些方案可以支持基于分散方法的新系统的开发，特别是在医疗保健应用中。本研究还确定了这些技术的优点和缺点，以及它们使用的数据集。

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

Journal of Intelligent Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

5.90

自引率

3.30%

发文量

审稿时长

51 weeks

期刊介绍： The Journal of Intelligent Systems aims to provide research and review papers, as well as Brief Communications at an interdisciplinary level, with the field of intelligent systems providing the focal point. This field includes areas like artificial intelligence, models and computational theories of human cognition, perception and motivation; brain models, artificial neural nets and neural computing. It covers contributions from the social, human and computer sciences to the analysis and application of information technology.