Improving cloud storage and privacy security for digital twin based medical records

IF 3.7 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Cloud Computing-Advances Systems and Applications Pub Date : 2023-10-30 DOI:10.1186/s13677-023-00523-6

Haibo Yi

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引用次数: 0

Abstract

Abstract As digital transformation progresses across industries, digital twins have emerged as an important technology. In healthcare, digital twins are created by digitizing patient parameters, medical records, and treatment plans to enable personalized care, assist diagnosis, and improve planning. Data is core to digital twins, originating from physical and virtual entities as well as services. Once processed and integrated, data drives various components. Medical records are critical healthcare data but present unique challenges for digital twins. However, directly storing or encrypting medical records has issues. Plaintext risks privacy leaks while encryption hinders retrieval. To address this, we present a cloud-based solution combining post-quantum searchable encryption. Our system includes key generation using Physical Unable Functions (PUF). It encrypts medical records in cloud storage, verifies records using blockchain, and retrieves records via cloud. By integrating cloud encryption, blockchain verification and cloud retrieval, we propose a secure and efficient cloud-based medical records system for digital twins. Our implementation demonstrates the system provides users efficient and secure medical record services, compared to related designs. This highlights digital twins’ potential to transform healthcare through secure data-driven personalized care, diagnosis and planning.

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改进基于数字孪生的医疗记录的云存储和隐私安全性

随着跨行业数字化转型的深入，数字孪生技术已经成为一项重要的技术。在医疗保健领域，通过数字化患者参数、医疗记录和治疗计划来创建数字孪生，从而实现个性化护理、辅助诊断和改进计划。数据是数字孪生的核心，来源于实体和虚拟实体以及服务。一旦处理和集成，数据驱动各种组件。医疗记录是至关重要的医疗数据，但对数字双胞胎来说却面临着独特的挑战。然而，直接存储或加密医疗记录存在问题。明文有泄露隐私的风险，而加密则阻碍检索。为了解决这个问题，我们提出了一种基于云的解决方案，结合了后量子可搜索加密。我们的系统包括使用物理无法功能(PUF)生成密钥。它在云存储中对医疗记录进行加密，使用区块链验证记录，并通过云检索记录。通过集成云加密、区块链验证和云检索，我们提出了一个安全高效的基于云的数字双胞胎医疗记录系统。与相关设计相比，本系统为用户提供了高效、安全的病案服务。这凸显了数字孪生体通过安全的数据驱动的个性化护理、诊断和规划来改变医疗保健的潜力。

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 Cloud Computing-Advances Systems and Applications Computer Science-Computer Networks and Communications

CiteScore

6.80

自引率

7.50%

发文量

审稿时长

75 days

期刊介绍： The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) will publish research articles on all aspects of Cloud Computing. Principally, articles will address topics that are core to Cloud Computing, focusing on the Cloud applications, the Cloud systems, and the advances that will lead to the Clouds of the future. Comprehensive review and survey articles that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.