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Design and Analysis of an Intelligent Integrity Checking Watermarking Scheme for Ubiquitous Database Access

机译:无处不在数据库访问的智能完整性检查水印方案的设计与分析

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As a result of the highly distributed nature of ubiquitous database accessing, it is essential to develop security mechanisms that lend themselves well to the delicate properties of outsourcing databases integrity and copyright protection. Researchers have begun to study how watermarking computing can make ubiquitous databases accessing more confident work environments. One area where database context may help is in supporting content integrity. Initially, most of the research effort in this field was depending on distortion based watermark while the few remaining studies concentrated on distortion-free. But there are many disadvantages in previous studies; most notably some rely on adding watermark as an extra attributes or tuples, which increase the size of the database. Other techniques such as permutation and abstract interpretation framework require much effort to verify the watermark. The idea of this research is to adapt an optimized distortion free watermarking based on fake tuples that are embedded into a separate file not within the database to validate the content integrity for ubiquitous database accessing. The proposed system utilizes the GA, which boils down its role to create the values of the fake tuples as watermark to be the closest to real values. So that it's very hard to any attacker to guess the watermark. The proposed technique achieves more imperceptibility and security. Experimental outcomes confirm that the proposed algorithm is feasible, effective and robust against a large number of attacks.
机译:由于普遍存在数据库访问的高度分布式性质,必须开发安全机制,以便对外包数据库完整性和版权保护的微妙属性提供良好的安全机制。研究人员已经开始研究水印计算如何使无处不在的数据库访问更自信的工作环境。数据库上下文可能有助于支持内容完整性的一个区域。最初,该领域的大多数研究努力取决于基于失真的水印,而少数剩余的研究集中在无扭曲。但之前的研究中存在许多缺点;最符合的是,一些依赖于将水印添加为额外的属性或元组,这增加了数据库的大小。其他技术,如排列和抽象解释框架需要很多努力来验证水印。本研究的思想是根据嵌入到数据库内的单独文件中的假数据来调整优化的失真无失真水印,以验证普遍存在数据库访问的内容完整性。所提出的系统利用GA,致下其作用,以创建假组合的价值,因为水印是最接近实际值的。因此,任何攻击者都很难猜测水印。该技术实现了更令人难以忍受和安全性的。实验结果证实,该算法是可行,有效和强大的针对大量攻击。

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