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An architecture for providing data usage and access control in data sharing ecosystems

Abstract:

We are experiencing a new digital revolution in which data are becoming a key pillar for business and industry. Promoting data sharing, without compromising data sovereignty and traceability, is fundamental since it provides a heterogeneous ecosystem with the potential to enrich the variety of applications and services that take part in this digital revolution. In this scope, the use of secure and trusted platforms for sharing and processing personal and industrial data is crucial for the creation of a data market and a data economy. Protecting data goes beyond restricting who can access what resource (covered by identity and access control respectively): It becomes necessary to control how data are treated, which is known as data usage control. Data usage control provides a common and trustful security framework to guarantee the sovereignty and the responsible use of organizations' data by third-party entities, easing and ensuring data sharing in ecosystems such as industry or smart cities. In this article, we present an architecture proposal for achieving access and usage control in shared data ecosystems among multiple organizations. The proposed architecture is based on the UCON (Usage Control) model and an extended XACML (extensible Access Control Markup Language) Reference Architecture, relying on key aspects of the IDS (International Data Spaces) Reference Architecture Model. Its modular design and technology-agnostic nature provide an integral solution while maintaining flexibility of implementation.