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Privacy Preserving Record Matching Using Automated Semi-trusted Broker

机译:使用自动半信任经纪人的隐私保护记录匹配

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In this paper, we present a novel scheme that allows multiple data publishers that continuously generate new data and periodically update existing data, to share sensitive individual records with multiple data subscribers while protecting the privacy of their clients. An example of such sharing is that of health care providers sharing patients' records with clinical researchers. Traditionally, such sharing is performed by sanitizing personally identifying information from individual records. However, removing identifying information prevents any updates to the source information to be easily propagated to the sanitized records, or sanitized records belonging to the same client to be linked together. We solve this problem by utilizing the services of a third party, which is of very limited capabilities in terms of its abilities to keep a secret, secret, and by encrypting the identification part used to link individual records with different keys. The scheme is based on strong security primitives that do not require shared encryption keys.
机译:在本文中,我们提出了一种新颖的方案,该方案允许多个数据发布者连续生成新数据并定期更新现有数据,以与多个数据订户共享敏感的个人记录,同时保护其客户的隐私。这种共享的一个例子是卫生保健提供者与临床研究人员共享患者的病历。传统上,这种共享是通过清除个人记录中的个人识别信息来执行的。但是,删除标识信息会阻止对源信息的任何更新轻松传播到已清理记录或属于同一客户端的已清理记录链接在一起。我们通过利用第三方的服务来解决此问题,该第三方服务的机密性,秘密性以及加密用于链接各个记录和不同密钥的标识部分的能力非常有限。该方案基于不需要共享加密密钥的强大安全性原语。

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