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A Secure Fragile Watermarking Scheme for Protecting Integrity of Digital Images
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 2.4 ) Pub Date : 2019-10-05 , DOI: 10.1007/s40998-019-00275-7
Shiv Prasad , Arup Kumar Pal

Fragile watermarking is one of the integrity protection mechanisms of multimedia data like image, video, and audio. A secure fragile image watermarking scheme, which is used to detect modification or tampering occurred on the image content, is devised in this paper. The projected scheme is developed into two steps, i.e., computation of secure authentication code/watermark bit from some of the most significant bits of each pixel, and subsequently hides the watermark bit in the least significant bit (LSB) of each pixel by suggested watermark embedding procedure. The watermark bit is concealed into the LSB position of each pixel by a secret sequence obtained from a logistic map. This procedure boosts the security since without knowing the secret sequence, the authentication code extraction from each pixel is not possible. The suggested watermarking approach is assessed on a set of grayscale images, and a decent quality of the watermarked image is visualized. After performing several malicious tampering attacks on the watermarked images, the results of the experiment depict that the tamper detection procedure can effectively locate or identify the altered region from the watermarked image. The scheme is also evaluated based on different estimated quantity parameters like PSNR, FPR, FNR , and Image Fidelity, and satisfactory results are attained.

中文翻译:

一种保护数字图像完整性的安全脆弱水印方案

脆弱水印是图像、视频、音频等多媒体数据的完整性保护机制之一。本文设计了一种安全的脆弱图像水印方案,用于检测图像内容发生的修改或篡改。计划方案发展为两个步骤,即从每​​个像素的一些最高有效位计算安全认证码/水印位,然后通过建议的水印将水印位隐藏在每个像素的最低有效位(LSB)中嵌入程序。水印位通过从逻辑映射中获得的秘密序列隐藏在每个像素的 LSB 位置中。这个过程提高了安全性,因为在不知道秘密序列的情况下,不可能从每个像素中提取验证码。建议的水印方法在一组灰度图像上进行评估,并且水印图像的良好质量被可视化。在对水印图像进行多次恶意篡改攻击后,实验结果表明篡改检测程序可以有效地定位或识别水印图像中的更改区域。该方案还基于不同的估计量参数,如 PSNR、FPR、FNR 和图像保真度进行了评估,取得了令人满意的结果。实验结果表明,篡改检测程序可以有效地定位或识别水印图像中的更改区域。该方案还基于不同的估计量参数,如 PSNR、FPR、FNR 和图像保真度进行了评估,取得了令人满意的结果。实验结果表明,篡改检测程序可以有效地定位或识别水印图像中的更改区域。该方案还基于不同的估计量参数,如 PSNR、FPR、FNR 和图像保真度进行了评估,取得了令人满意的结果。
更新日期:2019-10-05
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