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Analysis of Risks to Data Privacy Throughout European Countries

机译:欧洲各国数据隐私风险分析

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Fears of having personal information discovered by malicious or even benign actors on the Internet has raised substantial concerns about the sensitivity of personal information. Perhaps the first and very surprising research on this was published a number of years ago by LaTanya Sweeney. She was able to show that approximately 87% of persons in the United States could be uniquely identified through the discovery of a triad of data points T = (PC, G, B) where PC = the United States' five digit postal code; G = gender; and B = birth date (including year). Her results, first published in 2000, have been stable since that time. Sweeney only considered the data applicable to the United States. In this work, we have used an approach similar to Sweeney's, but we are able to estimate the challenge to data privacy for all 51 European countries, including both European Community and non-European Community countries, as well as several counties only partially in Europe.
机译:由于担心个人信息被恶意甚至善意的行为人在互联网上发现,人们对个人信息的敏感性产生了极大的担忧。关于这一点,拉坦亚·斯威尼(LaTanya Sweeney)可能在几年前发表了第一份非常令人惊讶的研究报告。她能够证明,通过发现三个数据点T=(PC,G,B),大约87%的美国人可以被唯一识别,其中PC=美国的五位数邮政编码;G=性别;B=出生日期(包括年份)。她的研究结果于2000年首次发表,自那时以来一直保持稳定。斯威尼只考虑了适用于美国的数据。在这项工作中,我们使用了一种类似于斯威尼的方法,但我们能够估计所有51个欧洲国家对数据隐私的挑战,包括欧洲共同体和非欧洲共同体国家,以及仅部分位于欧洲的几个国家。

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