FACTS: A Framework for Anonymity towards Comparability, Transparency, and Sharing

DOI：

10.1007/978-3-319-07881-6_9

发表时间：

2014-06

期刊：

影响因子：

通讯作者：

中科院分区：

其他

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作者：

Clemens Heidinger;Klemens Böhm;Erik Buchmann;Kai Richter

在过去的几年里，人们提出了许多匿名方案、匿名概念和匿名措施。在设计以匿名为特征的信息系统时，选择一个好的方法是一个非常重要的设计选择。虽然比较这些方法的实验很有启发性，但进行这样的实验是一项复杂的任务，而且需要大量的劳动。为了解决这个问题，我们提出了用于匿名化方案实验评估的框架FACTS。它使研究人员能够根据我们设计的接口和其他标准化实现他们的方法。然后，用户可以定义引用这些实现的基准套件。事实让位于可比性，它包括许多有用的特性，例如，易于共享和复制实验。我们评估FACTS (a)通过指定和执行数据发布的综合基准套件和(b)通过用户研究的方式。核心结果是，FACTS适用于广泛的场景，它允许轻松地比较方法，并且允许用户共享和复制实验。

In past years, many anonymization schemes, anonymity notions, and anonymity measures have been proposed. When designing information systems that feature anonymity, choosing a good approach is a very important design choice. While experiments comparing such approaches are enlightening, carrying out such experiments is a complex task and is labor-intensive. To address this issue, we propose the framework FACTS for the experimental evaluation of anonymization schemes. It lets researchers implement their approaches against interfaces and other standardizations that we have devised. Users can then define benchmark suites that refer to those implementations. FACTS gives way to comparability, and it includes many useful features, e.g., easy sharing and reproduction of experiments. We evaluate FACTS (a) by specifying and executing a comprehensive benchmark suite for data publishing and (b) by means of a user study. Core results are that FACTS is useful for a broad range of scenarios, that it allows to compare approaches with ease, and that it lets users share and reproduce experiments.

FACTS: A Framework for Anonymity towards Comparability, Transparency, and Sharing - Exploratory Paper

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