Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al Majma'ah, Saudi Arabia.
Big Data. 2023 Dec;11(6):437-451. doi: 10.1089/big.2022.0170. Epub 2023 May 23.
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.
在最近的医疗保健时代,生物医学文档发挥着至关重要的作用,其中包含与许多利益相关者数据相关的大量基于证据的文档。保护这些机密研究文档更加困难和有效,是医疗研究领域的重要过程。这些与医疗保健相关的生物文档以及其他相关社区有价值的数据是由医疗专业人员提出并处理的。许多传统的安全机制,如 akteonline 和健康保险流通与责任法案(HIPAA),用于保护生物医学文档,因为它们考虑到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,需要一个全面的框架来提高与生物医学文档相关的保护成本和响应时间。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),它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,以防止数据篡改和机密数据的拦截,并通过适当的数据验证。这两种算法都具有强大的加密机制,以抵御后量子安全风险,确保生物医学文档检索的完整性和数据检索事务的不可否认性。在性能分析中,使用 Solidity 语言在以太坊区块链基础设施上部署了 BBDPF 和智能合约。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提出的混合模型,因为它逐渐增加。建立了一个带有基于网络的界面的修改原型,以证明概念并评估所提出的框架。实验结果表明,所提出的框架提供了数据完整性、不可抵赖性和对基于查询公证服务、MedRec、MedShare 和 Medlock 的智能合约的支持。