Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism

在一个以数字编码数据为特征的世界里，数据挖掘可以自动探索大量的个人记录，用于目标营销，以及人口、医学和犯罪研究。对恐怖袭击的调查使用这种技术，但在隐私保护方面取得平衡是必要的。即使姓名和唯一标识符被删除，计算机方法也可以用来推断个人的机密信息。本项目开发新技术以确保私隐及减轻公众对个人资料二次使用等问题的关注。我们将开发新的方法，用显示大致相同模式但隐藏敏感数据的数据代替原始数据。

In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer methods can be used to infer confidential information about individuals. This project develops new techniques to ensure privacy and alleviate public concerns such as secondary use of personal data. We shall develop new methods for replacing original data with data that exhibits approximately the same patterns, but conceals sensitive data.