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Privacy protection for statistical analysis distributed database

机译:统计分析分布式数据库的隐私保护

摘要

PROBLEM TO BE SOLVED: To perform statistic analysis in which privacy such as the identification information of a data source and the detailed contents of live data can be safeguarded for private dispersion database.;SOLUTION: In compaction statistic, randomized data (hat) X and (hat) Y are acquired by separately subjecting data X and Y to first randomization. Subsequently, the randomized data (hat) X and (hat) Y are subjected to second randomization, thereby acquiring randomized data (tilde) X and (tilde) Y for a server and helper information Tx|x and Ty|y for a client. Here, T represents an experience distribution, and second randomization safeguards the privacy of the compaction statistic of the data X and Y. Next, the server acquires Tx, y. Lastly, a client acquires estimated (dots) Tx, y, by applying the helper information Tx|x and Ty|y in Tx, y. Here, "|" and "," between X and Y represent a conditioned distribution and a joined distribution respectively.;COPYRIGHT: (C)2014,JPO&INPIT
机译:解决的问题:进行统计分析,以保护私有散布数据库的隐私,例如数据源的标识信息和实时数据的详细内容等;解决方案:在压缩统计中,随机数据(hat)X和通过分别对数据X和Y进行第一随机化来获取(帽子)Y。随后,对随机数据(帽子)X和(帽子)Y进行第二次随机化,从而获取服务器的随机数据(波浪号)X和(波浪号)Y以及客户端的辅助信息Tx | x和Ty | y。在此,T表示经验分布,并且第二随机化保护数据X和Y的压缩统计量的私密性。接下来,服务器获取Tx,y。最后,客户通过在Tx,y中应用帮助者信息Tx | x和Ty | y来获取估计的(点)Tx,y。在这里,“ |” X和Y之间的“,”分别代表条件分布和联合分布。;版权:(C)2014,JPO&INPIT

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