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Generalization Based Approach to Confidential Database Updates

机译:基于泛化的机密数据库更新方法

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In many applications privacy becomes big issue as database size increases. For example, hospital or bank needs to share personal information of individuals in such a way that identities of the individuals cannot be revealed. In that case, personal identifier is removed to protect private or personal information is called anonymization.There are different data anonymization techniques. But in this paper k-anonymization approach is used. Suppose Alice having his own k-anonymous database and Bob wants to insert a tuple.So,the problem is to check after inserting a tuple whether database retains its k-anonymity or not. If allowing Alice to read content of tuple directly, it breaks the privacy of Bob and on the other hand database confidentiality violated once Bob has access to the contents of the database. In this paper, we propose a protocol to solve this problem on Generalization-based k-anonymous and confidential databases.
机译:在许多应用程序中,随着数据库大小的增加,隐私成为一个大问题。例如,医院或银行需要以无法透露个人身份的方式共享个人的个人信息。在这种情况下,为了保护私人或个人信息而删除了个人标识符称为匿名化。存在不同的数据匿名化技术。但是在本文中,使用了k匿名化方法。假设Alice有自己的k-匿名数据库,而Bob想插入一个元组。因此,问题是在插入一个元组后检查数据库是否保留其k-匿名性。如果允许Alice直接读取元组的内容,则它将破坏Bob的隐私,另一方面,一旦Bob访问数据库的内容,就会破坏数据库的机密性。在本文中,我们提出了一种协议来解决基于泛化的k匿名和机密数据库上的问题。

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