Journal Article

Data Usage and Access Control in Industrial Data Spaces: Implementation Using FIWARE

Munoz-Arcentales, Andres, Alonso, Álvaro, Salvachúa, Joaquín, Pozo, Alejandro, Huecas, Gabriel, López-Pernas, Sonsoles

2020

Overview

In recent years, a new business paradigm has emerged which revolves around effectively extracting value from data. In this scope, providing a secure ecosystem for data sharing that ensures data governance and traceability is of paramount importance as it holds the potential to create new applications and services. Protecting data goes beyond restricting who can access what resource (covered by identity and Access Control): it becomes necessary to control how data are treated once accessed, which is known as data Usage Control. Data Usage Control provides a common and trustful security framework to guarantee the compliance with data governance rules and responsible use of organizations’ data by third-party entities, easing and ensuring secure data sharing in ecosystems such as Smart Cities and Industry 4.0. In this article, we present an implementation of a previously published architecture for enabling access and Usage Control in data-sharing ecosystems among multiple organizations using the FIWARE European open source platform. Additionally, we validate this implementation through a real use case in the food industry. We conclude that the proposed model, implemented using FIWARE components, provides a flexible and powerful architecture to manage Usage Control in data-sharing ecosystems.

• Publisher: MDPI AG
• Subject: Access control / Big Data / Data analysis / Information sharing / Internet of Things / Interoperability / Optimization techniques / Product development / Security management / Trust