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An improved watermarking algorithm for robustness and imperceptibility of data protection in the perception layer of internet of things
Pattern Recognition Letters ( IF 3.9 ) Pub Date : 2021-10-31 , DOI: 10.1016/j.patrec.2021.10.032
Mohammad Kamrul Hasan 1 , Samar Kamil 2 , Muhammad Shafiq 3 , Yuvaraj S 4 , E. Saravana Kumar 5 , Rajiv Vincent 6 , Nazmus Shaker Nafi 7
Affiliation  

Emergence of Internet of Things (IoT) and modern digital applications such as digital financial services and deliveries make it easy to reproduce and re-distribute digital contents thus give room to so many copyright violations of illegal use of contents that need to be resolved. Researcher have been presenting the watermarking algorithms to prevent these illicit activities to a document before distribution. However, several issues have been identified for the digital transactions in the IoT. Thus, this research proposes a new text document image watermarking algorithm which emphasizes on two most important measures, visual quality, and robustness. To boost these measures, third least significant bit has been used for insertion. In addition, to further strengthen the technique, the Pascal Triangle is applied to determine the best position for embedding. Experimental results on the standard dataset have revealed that the proposed watermarking has achieved very encouraging results with PSNR and NCC averaged 54.95db and 0.98, respectively.

中文翻译:


一种改进的水印算法,实现物联网感知层数据保护的鲁棒性和不可感知性



物联网(IoT)和现代数字应用(例如数字金融服务和交付)的出现使得复制和重新分发数字内容变得容易,从而为非法使用内容的版权侵权行为提供了空间,需要解决。研究人员已经提出了水印算法,以防止在分发文档之前进行这些非法活动。然而,物联网中的数字交易已经发现了几个问题。因此,本研究提出了一种新的文本文档图像水印算法,该算法强调两个最重要的指标:视觉质量和鲁棒性。为了增强这些措施,第三个最低有效位已用于插入。此外,为了进一步加强该技术,应用帕斯卡三角来确定嵌入的最佳位置。标准数据集上的实验结果表明,所提出的水印技术取得了非常令人鼓舞的结果,PSNR 和 NCC 平均分别为 54.95db 和 0.98。
更新日期:2021-10-31
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