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ADAPTIVE STATISTICAL DATA DE-IDENTIFICATION BASED ON EVOLVING DATA STREAMS

机译:基于不断发展的数据流的自适应统计数据去识别

摘要

A system dynamically changes a data de-identification ruleset applied to a dataset for de-identifying data and comprises at least one processor. The system periodically monitors a dataset derived from data that is de-identified according to a data de-identification ruleset under a set of conditions. The set of conditions for the data de- identification ruleset is evaluated with respect to the monitored data to determine applicability of the data de- identification. One or more rules of the data de-identification ruleset are dynamically changed in response to the evaluation indicating one or more conditions of the set of conditions for the data de-identification ruleset are no longer satisfied. Embodiments of the present invention may further include a method and computer program product for dynamically changing a data de-identification ruleset applied to a dataset for de-identifying data in substantially the same manner described above.
机译:一种系统动态地改变应用于数据集的数据去识别规则集以去识别数据,并且该系统包括至少一个处理器。该系统在一组条件下定期监视从根据数据取消标识规则集取消标识的数据得出的数据集。针对所监视的数据评估数据去识别规则集的条件集,以确定数据去识别的适用性。响应于评估,动态地改变数据去识别规则集的一个或多个规则,该评估表明不再满足数据去识别规则集的条件的集合中的一个或多个条件。本发明的实施例可以进一步包括一种方法和计算机程序产品,其用于以与上述基本相同的方式动态地改变应用于数据集的数据去识别规则集以用于去识别数据。

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