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Distortion-Free Watermarking Approach for Relational Database Integrity Checking

机译:无扭曲的水印方法,用于关系数据库完整性检查

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Nowadays, internet is becoming a suitable way of accessing the databases. Such data are exposed to various types of attack with the aim to confuse the ownership proofing or the content protection. In this paper, we propose a new approach based on fragile zero watermarking for the authentication of numeric relational data. Contrary to some previous databases watermarking techniques which cause some distortions in the original database and may not preserve the data usability constraints, our approach simply seeks to generate the watermark from the original database. First, the adopted method partitions the database relation into independent square matrix groups. Then, group-based watermarks are securely generated and registered in a trusted third party. The integrity verification is performed by computing the determinant and the diagonal’s minor for each group. As a result, tampering can be localized up to attribute group level. Theoretical and experimental results demonstrate that the proposed technique is resilient against tuples insertion, tuples deletion, and attributes values modification attacks. Furthermore, comparison with recent related effort shows that our scheme performs better in detecting multifaceted attacks.
机译:如今,互联网正在成为访问数据库的合适方式。这些数据暴露于各种类型的攻击,旨在混淆所有权校对或内容保护。在本文中,我们提出了一种基于脆弱的零水印的新方法,以进行数字关系数据的认证。与某些先前的数据库不同的数据库水印技术导致原始数据库中的一些扭曲,并且可能无法保留数据可用性约束,我们的方法只是寻求从原始数据库生成水印。首先,采用的方法将数据库关系分区为独立的方矩阵组。然后,基于组的水印被安全地生成并在可信第三方注册。通过计算每个组的决定因素和对角线’ Smeder来执行完整性验证。结果,篡改可以本地化为属性组级别。理论和实验结果表明,所提出的技术是弹性对抗元组插入,元组缺失和属性值修改攻击。此外,与最近的相关工作相比表明,我们的方案在检测多方面的攻击方面表现更好。

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