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K-anonymity and L-diversity data anonymization in an in-memory database

机译:内存数据库中的K匿名和L分集数据匿名

摘要

Disclosed herein are system, method, and computer program product embodiments for data anonymization in an in-memory database. An embodiment operates by receiving an indication to perform data anonymization based on quasi attributes of a data set. Partitioning is recursively performed on the data set based on one or more of the quasi attributes until both a first anonymization threshold corresponding to the quasi attributes is satisfied and a second anonymization threshold corresponding to the one or more sensitive attributes is satisfied for each of a plurality of sub-partitions produced as a result of the partitioning. A resultant data set including a plurality of records of the data set corresponding to the plurality of sub-partitions that satisfy both the first anonymization threshold and the second anonymization threshold is provided.
机译:本文公开了用于内存数据库中的数据匿名化的系统,方法和计算机程序产品实施例。实施例通过接收指示以基于数据集的准属性来执行数据匿名化来进行操作。基于一个或多个准属性对数据集进行递归分区,直到满足与准属性相对应的第一匿名化阈值和对一个或多个敏感属性相对应的第二匿名化阈值都满足多个分区产生的子分区的数量。提供了结果数据集,该结果数据集包括与满足第一匿名化阈值和第二匿名化阈值两者的多个子分区相对应的数据集的多个记录。

著录项

  • 公开/公告号US10565398B2

    专利类型

  • 公开/公告日2020-02-18

    原文格式PDF

  • 申请/专利权人 SAP SE;

    申请/专利号US201715794744

  • 发明设计人 XINRONG HUANG;

    申请日2017-10-26

  • 分类号G06F21/62;G16H10/60;G06F16/28;

  • 国家 US

  • 入库时间 2022-08-21 11:29:48

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