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A Provenance-Based Compliance Framework

机译:基于出处的合规性框架

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Given the significant amount of personal information available on the Web, verifying its correct use emerges as an important issue. When personal information is published, it should be later used under a set of usage policies. If these policies are not followed, sensitive data could be exposed and used against its owner. Under these circumstances, processing transparency is desirable since it allows users to decide whether information is used appropriately. It has been argued that data provenance can be used as the mechanism to underpin such a transparency. Thereby, if provenance of data is available, processing becomes transparent since the provenance of data can be analysed against usage policies to decide whether processing was performed in compliance with such policies. The aim of this paper is to present a Provenance-based Compliance Framework that uses provenance to verify the compliance of processing to predefined information usage policies. It consists of a provenance-based view of past processing of information, a representation of processing policies and a comparison stage in which the past processing is analysed against the processing policies. This paper also presents an implementation using a very common on-line activity: on-line shopping.
机译:鉴于网络上可用的大量个人信息,验证其正确的使用是作为一个重要问题。发布个人信息时,应稍后在一组使用策略下使用。如果不遵循这些策略,则可能会对其所有者进行敏感数据并使用。在这种情况下,处理透明度是可取的,因为它允许用户决定是否适当地使用信息。有人认为,数据出处可以用作支撑这种透明度的机制。因此,如果数据的出处可用,则处理变得透明,因为可以分析数据的出处,以防止使用策略来决定是否符合此类策略执行处理。本文的目的是提供一种基于出处的合规性框架,该框架使用出处来验证处理对预定义信息使用策略的遵守情况。它包括用于信息的过去处理的基于位置的视图,处理策略的表示和比较阶段,其中通过对处理策略分析过去处理。本文还提供了使用非常常见的在线活动的实现:在线购物。

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