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The Metric Model for Personal Information Disclosure

机译:个人信息披露的度量模型

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In recent years, the protection of personal information has become a matter of growing importance, and many enterprises and universities are developing disclosure-prevention technologies, as well as solutions to prevent inadvertent disclosure of personal information by organizations. On the other hand, in the case of the so called Consumer Generated Media such as blogs and Social Networking Services, the majority of authors (i.e. bloggers) pay little attention to protecting their personal information and carelessly disclose such data on their blog pages. In this paper, we present a novel metric model for estimating the state of personal information disclosure that assumes a Privacy Search Oracle, and describe a quantification method for the degree of personal information disclosure. We also evaluate the proposed model using actual blog articles and show how the degree of personal information disclosure can be reasonably estimated by our model.
机译:近年来,对个人信息的保护已变得越来越重要,许多企业和大学正在开发防止泄露的技术以及防止组织无意间泄露个人信息的解决方案。另一方面,在诸如博客和社交网络服务之类的所谓的消费者生成媒体的情况下,大多数作者(即,博客作者)很少注意保护其个人信息,并且不小心在其博客页面上披露此类数据。在本文中,我们提出了一种新的度量模型,该模型用于估计假定有隐私搜索Oracle的个人信息披露的状态,并描述了个人信息披露程度的量化方法。我们还使用实际的博客文章评估了建议的模型,并显示了我们的模型如何合理地估计个人信息披露的程度。

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