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Enhancing Privacy and Authorization Control Scalability in the Grid Through Ontologies

机译:通过本体增强网格中的隐私和授权控制可伸缩性

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摘要

The use of data Grids for sharing relevant data has proven to be successful in many research disciplines. However, the use of these environments when personal data are involved (such as in health) is reduced due to its lack of trust. There are many approaches that provide encrypted storages and key shares to prevent the access from unauthorized users. However, these approaches are additional layers that should be managed along with the authorization policies. We present in this paper a privacy-enhancing technique that uses encryption and relates to the structure of the data and their organizations, providing a natural way to propagate authorization and also a framework that fits with many use cases. The paper describes the architecture and processes, and also shows results obtained in a medical imaging platform.
机译:在许多研究领域中,使用数据网格共享相关数据已被证明是成功的。但是,由于缺乏信任,减少了涉及个人数据(例如健康状况)时对这些环境的使用。有许多方法可提供加密的存储和密钥共享,以防止未经授权的用户访问。但是,这些方法是应与授权策略一起管理的其他层。我们在本文中提出了一种隐私增强技术,该技术使用加密并与数据及其组织的结构相关,提供了一种自然的方式来传播授权,并且还提供了适合许多用例的框架。本文描述了体系结构和过程,还显示了在医学成像平台上获得的结果。

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