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Privacy Preserving Record Matching Using Automated Semi-trusted Broker

机译:隐私保留使用自动半信子经纪人的记录匹配

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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,我们介绍了一种新颖的方案,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,以共享具有多个数据订阅者的敏感单个记录,同时保护客户的隐私。这种共享的一个例子是与临床研究人员共享患者记录的医疗保健提供者。传统上,通过对个人记录的个人识别信息进行消毒来执行这种共享。然而,删除识别信息可防止对源信息的任何更新,以便容易地传播到要链接到相同客户端的消毒记录,或属于同一客户端的消毒记录。我们通过利用第三方的服务来解决这个问题,这些问题在保持秘密,秘密的能力方面具有非常有限的能力,以及通过加密用于将各个记录用不同键链接的识别部分来加密。该方案基于强的安全性原语,不需要共享加密密钥。

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