通过区块链确保隐私的生物医学文件安全保护框架。

IF 2.6 4区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Big Data Pub Date : 2023-12-01 Epub Date: 2023-05-23 DOI:10.1089/big.2022.0170
Ramkumar Jayaraman, Mohammed Alshehri, Manoj Kumar, Ahed Abugabah, Surender Singh Samant, Ahmed A Mohamed
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引用次数: 0

摘要

在最近的医疗保健时代,生物医学文件发挥着至关重要的作用,其中包含许多与利益相关者数据相关的循证文件。保护这些机密研究文件更加困难和有效,也是医学研究领域的一个重要过程。这些与医疗保健有关的生物文档和其他相关的社区价值数据都是由医疗专业人员建议和处理的。许多传统的安全机制,如akteonline 和《健康保险可携性和责任法案》(HIPAA),都被用来保护生物医学文档,因为它们考虑到了与文档检索和存储相关的不可抵赖性和数据完整性问题。因此,有必要建立一个综合框架,从成本和响应时间方面改善对生物医学文件的保护。在这项研究工作中,提出了基于区块链的生物医学文档保护框架(BBDPF),其中包括基于区块链的生物医学数据保护(BBDP)和基于区块链的生物医学数据检索(BBDR)算法。BBDP 和 BBDR 算法提供数据一致性,通过适当的数据验证防止数据被修改和机密数据被截取。这两种算法都具有强大的加密机制,能够抵御量子化后的安全风险,确保生物医学文献检索的完整性和数据检索交易的非否认性。在性能分析中,以太坊区块链基础设施部署了 BBDPF 和使用 Solidity 语言的智能合约。在性能分析中,根据请求数量确定请求时间和搜索时间,以确保数据完整性、不可抵赖性和智能合约的逐步增加。为了验证概念和评估所提出的框架,我们建立了一个基于网络界面的修改原型。实验结果表明,建议的框架提供了数据完整性、不可否认性,并支持与 Query Notary Service、MedRec、MedShare 和 Medlock 的智能合约。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain.

In the recent health care era, biomedical documents play a crucial role, and they contain much evidence-based documentation associated with many stakeholders data. Protecting those confidential research documents is more difficult and effective, and a significant process in the medical-based research domain. Those bio-documentation related to health care and other relevant community-valued data are suggested by medical professionals and processed. Many traditional security mechanisms such as akteonline and Health Insurance Portability and Accountability Act (HIPAA) are used to protect the biomedical documents as they consider the problem of non-repudiation and data integrity related to the retrieval and storage of documents. Thus, there is a need for a comprehensive framework that improves protection in terms of cost and response time related to biomedical documents. In this research work, blockchain-based biomedical document protection framework (BBDPF) is proposed, which includes blockchain-based biomedical data protection (BBDP) and blockchain-based biomedical data retrieval (BBDR) algorithms. BBDP and BBDR algorithms provide consistency on the data to prevent data modification and interception of confidential data with proper data validation. Both the algorithms have strong cryptographic mechanisms to withstand post-quantum security risks, ensuring the integrity of biomedical document retrieval and non-deny of data retrieval transactions. In the performance analysis, Ethereum blockchain infrastructure is deployed BBDPF and smart contracts using Solidity language. In the performance analysis, request time and searching time are determined based on the number of request to ensure data integrity, non-repudiation, and smart contracts for the proposed hybrid model as it gets increased gradually. A modified prototype is built with a web-based interface to prove the concept and evaluate the proposed framework. The experimental results revealed that the proposed framework renders data integrity, non-repudiation, and support for smart contracts with Query Notary Service, MedRec, MedShare, and Medlock.

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来源期刊
Big Data
Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍: Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government. Big Data coverage includes: Big data industry standards, New technologies being developed specifically for big data, Data acquisition, cleaning, distribution, and best practices, Data protection, privacy, and policy, Business interests from research to product, The changing role of business intelligence, Visualization and design principles of big data infrastructures, Physical interfaces and robotics, Social networking advantages for Facebook, Twitter, Amazon, Google, etc, Opportunities around big data and how companies can harness it to their advantage.
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