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Consent Management Architecture for Secure Data Transactions

机译:用于安全数据事务的同意管理架构

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Digitalization of data intensive services presents several challenges, such as how to safely manage and use the multitude of personal data across various public, private and commercial service providers. Guaranteed privacy is especially critical in sensitive cases like health data management and processing. A key challenge and enabler for efficient data utilization is the need for an adequate consent management framework that meets the General Data Protection Regulation (GDPR). To facilitate sensitive secure data transactions where end-control always resides with the individual, a consent management architecture (CMA) is defined, utilizing the new MyData approach. The proposed CMA enables context-driven authorization of multi-sourced data for safe access by various health services. CMA proof-of-concept and experiences are described and discussed to concretize and evaluate the suggested architecture. Consent management and authorization topics are discussed as a service function of the MyData Operator. The technical APIs required for registering and authorizing data sources and data services via the Operator are demonstrated and analyzed to expedite development of this important area within the research and industrial communities.
机译:数据密集型服务的数字化呈现出几种挑战,例如如何安全地管理和使用各种公共,私人和商业服务提供商的众多个人数据。保证隐私在健康数据管理和处理等敏感情况下尤为重要。有效数据利用率的关键挑战和启动器是需要满足一般数据保护规范(GDPR)的适当同意管理框架。为了便于敏感的安全数据事务,其中结束控制始终驻留在个人中,使用新的MyData方法定义了同意管理体系结构(CMA)。建议的CMA使上下文驱动的多源数据授权用于各种健康服务的安全访问。 CMA验证和经验描述并讨论了解和评估建议的架构。同意管理和授权主题被讨论为MyData运算符的服务函数。通过操作员登记和授权数据源和数据服务所需的技术API,并分析了研究和工业社区内这一重要地区的发展。

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