Watermarking Relational Databases

关系数据库加水印

• 批准号: 0242421
• 负责人: Sunil Prabhakar
• 金额: $ 15万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-06-01 至 2007-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0242421&HistoricalAwards=false
• 关键词: Watermarking; Relational; Databases

Watermarking is the technique of embedding un-detectable information into objects (e.g. images and video) mainly to protect the data from unauthorized duplication and distribution by enabling provable ownership over the content. Whereas considerable work has been invested in this topic, little has been done to enable the same concept in the area of relational databases. There is much to be gained from the ability to watermark relational databases, in particular considering current mainstream migration of business interactions towards distributed computing technologies. Effective watermarking can decrease the reluctance of vendors to provide public availability or sharing of valuable data.Compared to multimedia, watermarking in the area of relational data presents a whole new set of challenges. Relational data are characterized by value lying both in the actual values stored as well as the organization of these data. A major challenge for watermarking relational databases is simply the "lack of bandwidth", deriving from the inherent lack of a major noise component in that domain. To further add to the challenge, these constraints are data and application dependent.This project explores the issue of watermarking valuable outsourced relational data. In particular, it addresses: the design of a resilient watermarking method, a proof-of-concept implementation for numeric relational data, deployment on real outsourced commercial data, and an evaluation of the resilience of the algorithm.

水印是将不可检测的信息嵌入到对象（例如图像和视频）中的技术，主要是通过提供可证明的内容所有权来保护数据免遭未经授权的复制和分发。尽管在这个主题上投入了大量的工作，但在关系数据库领域中实现相同概念的工作却很少。对关系数据库加水印的能力可以带来很多好处，特别是考虑到当前主流的业务交互向分布式计算技术的迁移。有效的水印可以减少供应商提供公共可用性或共享有价值数据的不愿意性。与多媒体相比，关系数据领域的水印提出了一系列全新的挑战。关系数据的特征在于存储的实际值以及这些数据的组织中的值。 对关系数据库加水印的一个主要挑战就是“带宽不足”，这是由于该领域固有地缺乏主要噪声成分。进一步增加挑战的是，这些约束取决于数据和应用程序。该项目探讨了对有价值的外包关系数据加水印的问题。具体来说，它涉及：弹性水印方法的设计、数值关系数据的概念验证实现、真实外包商业数据的部署以及算法弹性的评估。