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XPref: a preference language for P3P

机译:XPref:P3P的首选语言

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摘要

The Platform for Privacy Preferences (P3P) is the most significant effort currently underway to enable web users to gain control over their private information. The designers of P3P simultaneously designed a preference language called APPEL to allow users to express their privacy preferences, thus enabling automatic matching of privacy preferences against P3P policies. Unfortunately, subtle interactions between P3P and APPEL result in serious problems when using APPEL: users can only directly specify what is unacceptable in a policy, not what is acceptable; simple preferences are hard to express; and writing APPEL preferences is error prone. We show that these problems follow from a fundamental design choice made by APPEL and cannot be solved without completely redesigning the language. Therefore, we explore alternatives to APPEL that can overcome these problems. In particular, we show that XPath serves quite nicely as a preference language and solves all the above problems. We identify the minimal subset of XPath that is needed, thus allowing matching programs to potentially use a smaller memory footprint. We also give an APPEL to XPath translator that shows that XPath is as expressive as APPEL.
机译:隐私首选项平台(P3P)是当前正在进行的最重要的工作,它使Web用户能够控制其私人信息。 P3P的设计人员同时设计了一种称为APPEL的偏好语言,以允许用户表达其隐私偏好,从而使隐私偏好与P3P策略自动匹配。不幸的是,使用APPEL时,P3P和APPEL之间的微妙交互会导致严重的问题:用户只能直接指定策略中不可接受的内容,而不能直接指定可接受的内容;简单的偏好很难表达;并且编写APPEL首选项容易出错。我们表明,这些问题源于APPEL做出的基本设计选择,如果不完全重新设计语言,就无法解决。因此,我们探索可以克服这些问题的APPEL替代品。特别是,我们证明XPath可以很好地用作首选项语言,并且可以解决上述所有问题。我们确定所需的XPath的最小子集,从而允许匹配的程序潜在地使用较小的内存。我们还为XPath转换器提供了APPEL,它表明XPath与APPEL一样具有表现力。

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