从数据保护的角度看,使用控制和来源跟踪如何结合在一起

C. Bier
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引用次数: 28

摘要

如今,敏感和个人信息被广泛应用。这些信息的交换越来越快,越来越难以预测。因此,有关人士无法决定他的个人资料在公开后会如何处理。谁对数据滥用负责是非常不透明的。使用控制和来源跟踪是解决这个问题的两种不同方法。本文从数据保护的角度比较了这两个概念。对数据保护要求的支持和实现进行了分析。研究模型和体系结构的共性。结合这两种技术可以提高来源跟踪的灵活性和有效性,从而在实践中增强信息问责制,如果由此导致的可链接性缺陷得到妥善处理。提出了一种联合架构来支持这种见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Usage Control and Provenance Tracking Get Together - A Data Protection Perspective
These days, sensitive and personal information is used within a wide range of applications. The exchange of this information is increasingly faster and more and more unpredictable. Hence, the person concerned cannot determine what happens with his personal data after it has been released. It is highly intransparent who is accountable for data misuse. Usage control and provenance tracking are two different approaches to tackle this problem. This work compares the two concepts from a data protection perspective. The support and fulfillment of data protection requirements are analysed. Models and architectures are investigated for commonalities. Combining the two technologies can increase flexibility and effectiveness of provenance tracking and thereby enhance information accountability in practice, if resulting linkability drawbacks are properly handled. A joint architecture is proposed to support this insight.
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