Analysis of Risks to Data Privacy Throughout European Countries

W. Patterson
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Abstract

Over 20 years ago, the surprising research by Latanya Sweeney demonstrated that publicly available database information exposed the overwhelming percentage of United States residents to information easily available in order to facilitate the capture of such personal information, through techniques we now refer to as “dumpster diving.” In particular, her research demonstrated that approximately 87% of the United States population can be identified uniquely using only the Unites States’ five digit postal code, date of birth (including year), and gender. Although this result has held up over time, given the demographic parameters used in developing this estimate, Sweeney’s technique made no attempt to develop similar estimates for other countries. In this paper, we use Sweeney’s technique in order to provide estimates of the ability of similar demographics to provide the same type of data in a number of other countries throughout the European Community and other non-EU countries in Europe. Through this mechanism, we attempt to determine the susceptibility to data privacy attacks in Europe as compared to the United States.
欧洲各国数据隐私风险分析
20多年前,拉塔尼亚·斯威尼(Latanya Sweeney)进行的一项令人惊讶的研究表明,公开可用的数据库信息使绝大多数美国居民暴露在容易获取的信息之下,以便通过我们现在称为“垃圾箱搜索”的技术获取此类个人信息。特别是,她的研究表明,大约87%的美国人口可以仅使用美国的五位邮政编码、出生日期(包括年份)和性别来唯一识别。尽管这一结果经得起时间的考验,但考虑到发展这一估计所使用的人口参数,斯威尼的技术并没有试图为其他国家发展类似的估计。在本文中,我们使用斯威尼的技术,以提供类似的人口统计能力的估计,以提供相同类型的数据在整个欧共体和欧洲其他非欧盟国家的一些其他国家。通过这种机制,我们试图确定与美国相比,欧洲对数据隐私攻击的易感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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