Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data

Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data
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应用信任计算和隐私保护智能合约来管理、共享和分析多站点临床试验数据

DOI:
10.1007/978-3-031-16035-6_1
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发表时间:
2022
期刊:
Lecture notes in networks and systems
影响因子:
--
通讯作者:
Yesha, Y.
Yesha, Y.
中科院分区:
--
文献类型:
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作者:
Wu, Y.;Liu, C.;Sebald, L.;Nguyen, P.;Yesha, Y.

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多站点临床试验系统在简化信息共享的同时保护患者隐私时面临安全挑战。此外,临床试验系统中的患者登记、透明度、可追溯性、数据完整性和报告都是维持数据合规性的关键方面。最近,许多研究人员和工业公司提出了基于区块链的临床试验框架,但其缺乏数据治理、有限的保密性和高通信开销的局限性使得数据共享系统不安全且效率低下。我们提出了一种保护隐私的智能合约框架,用于在结构私有链码(FPC)上管理、共享和分析临床试验数据。与公共区块链相比,Fabric 参与者较少,具有高效的共识协议。由多个模块组成:患者同意和临床试验审批管理链代码、机密数据共享的安全执行、API 网关以及具有自适应阈值签名(ATS)的去中心化数据治理。我们实施了两个版本,其中非 SGX 部署在 AWS 区块链上,而 SGX 则部署在本地数据中心。我们评估了 AWS Managed Blockchain 上所有访问端点的响应时间,并演示了如何利用基于 SGX 的智能合约进行数据共享和分析。
Multi-site clinical trial systems face security challenges when streamlininginformation sharingwhile protecting patient privacy. In addition, patient enrollment, transparency, traceability, data integrity, and reporting in clinical trial systems are all critical aspects of maintaining data compliance. A Blockchain-based clinical trial framework has been proposed by lots of researchers and industrial companies recently, but its limitations of lack of data governance, limited confidentiality, and high communication overhead made data-sharing systems insecure and not efficient.We propose, a privacy-preserving smart contracts framework, to manage, share and analyze clinical trial data on fabric private chaincode (FPC). Compared to public Blockchain, fabric has fewer participants with an efficient consensus protocol.consists of several modules: patient consent and clinical trial approval management chaincode, secure execution for confidential data sharing, API Gateway, and decentralized data governance with adaptive threshold signature (ATS). We implemented two versions ofwith non-SGX deploys on AWS blockchain and SGX-based on a local data center. We evaluated the response time for all of the access endpoints on AWS Managed Blockchain, and demonstrated the utilization of SGX-based smart contracts for data sharing and analysis.