面向泛在数据库访问的智能完整性检测水印方案设计与分析

S. Darwish, H. A. Selim
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引用次数: 0

摘要

由于无处不在的数据库访问具有高度分布式的特性,因此必须开发安全机制,使其能够很好地处理外包数据库完整性和版权保护的微妙特性。研究人员已经开始研究如何利用水印计算使无所不在的数据库访问更有信心的工作环境。数据库上下文可以提供帮助的一个领域是支持内容完整性。最初,该领域的研究主要集中在基于失真的水印上,而剩余的研究主要集中在无失真水印上。但在以往的研究中存在许多不足;最值得注意的是,有些依赖于添加水印作为额外的属性或元组,这增加了数据库的大小。其他技术,如置换和抽象解释框架,需要付出很大的努力来验证水印。本研究的思想是采用一种优化的无失真水印,该水印基于嵌入到数据库之外的单独文件中的假元组,以验证无处不在的数据库访问的内容完整性。该系统利用遗传算法,将其作用归结为将伪元组的值创建为最接近真实值的水印。所以攻击者很难猜出水印。该技术实现了更高的隐蔽性和安全性。实验结果验证了该算法的可行性、有效性和抗大量攻击的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Analysis of an Intelligent Integrity Checking Watermarking Scheme for Ubiquitous Database Access
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.
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