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Data privacy employing a k-anonymity model with probabalistic match self-scoring

机译:使用具有概率匹配自评分功能的k匿名模型进行数据隐私

摘要

According to one embodiment of the present invention, a system for protecting data determines a desired duplication rate based on a level of desired anonymity for the data and generates a threshold for data records within the data based on the desired duplication rate. The system produces a data record score for each data record based on comparisons of attributes for that data record, compares the data record scores to the threshold, and controls access to the data records based on the comparison. Embodiments of the present invention further include a method and computer program product for protecting data in substantially the same manners described above.
机译:根据本发明的一个实施例,一种用于保护数据的系统基于对数据的期望匿名性的水平来确定期望的复制率,并且基于期望的复制率来为数据内的数据记录生成阈值。系统基于该数据记录的属性比较为每个数据记录生成数据记录得分,将数据记录得分与阈值进行比较,并基于比较结果控制对数据记录的访问。本发明的实施例还包括用于以与上述基本相同的方式保护数据的方法和计算机程序产品。

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