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Embedding in medical images: an efficient scheme for authentication and tamper localization

机译:在医学图像中嵌入:一个有效的认证和篡改本地化方案

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In e-healthcare applications integrity of the received information is of prime importance for ensuring the accurate diagnosis. The integrity of electronic medical record (EMR) is possible only when the medical images and other relevant data received are tamper free. Reversibility of medical images after certain degree of processing is always a desired property in medical images as it aids proper diagnosis. This paper proposes a novel reversible image authentication (RIA) scheme for tamper detection and authentication of medical images. In the proposed RIA scheme, the medical image is divided into 4×4 blocks followed by embedding fragile watermark bit (for authentication) in each of these blocks. Along with authentication, the localization of tamper is achieved accurately by using LSB embedding along with mean modification approach. The security of the watermark has been enhanced with Arnold cat map, Gray coding and AES-128 encryption. The experimental results show that the scheme offers better fragility against all intentional/unintentional signal processing attacks. The comparison results between proposed RIA scheme and similar state-of-the-art schemes show superiority of our scheme in terms of imperceptivity, fragility and tamper localization. For a payload of 16 kb, the average PSNR achieved for 50 Gray scale images of size 512 × 512 is more than 47 dB. In addition, the scheme offers very less complexity; the embedding and extraction times are around 0.6 s and 0.5 s respectively. Given the features of proposed scheme it could serve as a potential candidate for transfer of EMR in an e-healthcare system.
机译:在电子医疗保健应用中,收到的信息的完整性是确保准确诊断的主要重要性。只有当收到的医学图像和其他相关数据都是免费的,才有可能的电子医疗记录(EMR)的完整性。在某种程度的处理后,医学图像的可逆性始终是医学图像中的所需财产,因为它有助于正确诊断。本文提出了一种用于篡改检测和医学图像认证的新型可逆图像认证(RIA)方案。在提出的RIA方案中,医学图像分为4×4个块,然后在每个块中嵌入脆弱的水印比特(用于认证)。随着认证,通过使用LSB嵌入以及平均修改方法,可以确定篡改的定位。水印的安全性已经增强了Arnold Cat Map,灰色编码和AES-128加密。实验结果表明,该方案提供了针对所有有意/无意的信号处理攻击的更好脆弱性。拟议的RIA方案与类似最先进的计划之间的比较结果表明了我们方案的优越性,就官僚主义,脆弱性和篡改本地化而言。对于16 kB的有效载荷,50尺寸尺寸为512×512的灰度图像实现的平均PSNR大于47 dB。此外,该方案提供了非常较小的复杂性;嵌入和提取时间分别约为0.6秒和0.5秒。鉴于所提出的计划的特征,它可以作为EMR在电子医疗保健系统中转移EMR的潜在候选者。

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