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LMDGW: a novel matrix based dynamic graph watermark

机译:LMDGW:一种基于矩阵的新型动态图水印

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摘要

Android platform induces an open application development framework to attract more developers and promote larger market occupations. However, the open architecture also makes it easier to reverse engineering, which results in the property loss for both developers and companies, and increases the risks of mobile malicious code. Therefore, copyright protection for android application is of significant importance. A class of copyright protection methods are based on Android watermark. Different from static watermark, the process of embedding and extracting of dynamic graph watermark (DGW) is based on the function path and operation process of the app, which has better concealment. In this paper, we proposed a late-model dynamic watermark based on matrix, called LMDGW. This method is proposed to overcome the shortcoming of unintuitive and vulnerable property of traditional numberal DGW. We encode a matrix with low rank into a watermark graph, and embed the graph construction statements into smali code. With the containing of sensitive block characteristics, LMDGW is able to perceive and locate the changes in the specific block. Besides, LWDGW has great performance in tamper-proof attacks. Experiment results and analysis justified that LMDGW has great data rate and robust, and is available in sensitive code locating. LMDGW is proved to be an intelligent watermarking scheme, and is enlightening for intelligent security.
机译:Android平台引入了一个开放的应用程序开发框架,以吸引更多开发人员并促进更大的市场占领。但是,开放式体系结构还使逆向工程变得更容易,这会导致开发人员和公司财产损失,并增加了移动恶意代码的风险。因此,Android应用程序的版权保护非常重要。一类版权保护方法基于Android水印。与静态水印不同,动态图水印的嵌入和提取过程基于应用程序的功能路径和操作过程,具有较好的隐蔽性。在本文中,我们提出了一种基于矩阵的后期模型动态水印,称为LMDGW。提出该方法是为了克服传统数字DGW的直观性和易损性的缺点。我们将低秩的矩阵编码到水印图中,并将图构造语句嵌入到smali代码中。通过包含敏感​​块特征,LMDGW能够感知和定位特定块中的更改。此外,LWDGW在防篡改攻击方面具有出色的性能。实验结果和分析证明,LMDGW具有很高的数据速率和鲁棒性,可用于敏感代码定位。 LMDGW被证明是一种智能水印方案,对智能安全具有启发性。

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