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Semi-structured data protection scheme based on robust watermarking
EURASIP Journal on Image and Video Processing ( IF 2.4 ) Pub Date : 2020-03-16 , DOI: 10.1186/s13640-020-00500-y
Jiahuan He , Qichao Ying , Zhenxing Qian , Guorui Feng , Xinpeng Zhang

Semi-structured data is a widely used text format for data interchange and storage. This paper proposes a robust watermarking scheme of data protection for semi-structured data, which uses JSON format as an example for illustration. We first parse JSON file into a data structure of distinct pairs. Afterwards, we generate a transfer matrix to get the intermediate sequences, which are then encoded using error-correction codes and embedded into the pairs. A private key is shared by the data hider and the recipient to resist collusion attacks. On the recipient’s side, data extraction can be successfully carried out even the received stego data are tampered. The imperceptibility is realized by embedding data into the less significant digits of numeric data in the cover file. The proposed scheme can be extended on several other formats. The experimental results show that the proposed scheme is robust to various kinds of typical attacks such as contextual truncating, modification, and redundancy addition.

中文翻译:

基于鲁棒水印的半结构化数据保护方案

半结构化数据是一种广泛用于数据交换和存储的文本格式。本文提出了一种健壮的半结构化数据保护水印方案,以JSON格式为例进行说明。我们首先将JSON文件解析为不同对的数据结构。然后,我们生成一个传输矩阵来获取中间序列,然后使用纠错码对其进行编码并嵌入到对中。数据隐藏器和接收者共享私钥以抵抗串通攻击。在接收方,即使收到的隐秘数据被篡改,数据提取也可以成功进行。通过将数据嵌入到封面文件中数字数据的低位数字中来实现感知。所提出的方案可以扩展为其他几种格式。
更新日期:2020-03-16
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