Inversion attack resilient zero‐watermarking scheme for medical image authentication

Seenivasagam, Vellaisamy; Velumani, R.

doi:10.1049/iet-ipr.2013.0558

Cited by 28 publications

(15 citation statements)

References 24 publications

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“…To evaluate the watermarking distinguishability for authentication and copyright identification, we first calculate the inter-BERs (BERs between the watermark recovered by stacking the ownership share with master share of a same medical image and watermark recovered by stacking the ownership share with master shares of different medical images) by using DRZW and compare them with the those by using Seenivasagam's scheme 11 , which is one of the latest zero-watermarking scheme for medical images. The distinguishability is considered to be stronger if the inter-BERs are larger.…”

Section: Evaluation Of the Performance For Authentication And Copyrigmentioning

confidence: 99%

“…The existing watermarking schemes for medical images can be classified into three main categories: the regions of interest (ROI) lossless watermarking [1][2][3][4][5] , reversible watermarking [6][7][8] and zero-watermarking [9][10][11] . All of them use the information for authentication or copyright identification as watermark.…”

Section: Introductionmentioning

confidence: 99%

“…Dong et al 9 proposed a DCT-based zero-watermarking scheme, in which a DCT-based feature is extracted and then a binary vector for authentication and copyright identification is generated based on the extracted feature and watermark information. Vellaisamy et al [10][11] proposed two zero-watermarking schemes by utilizing of the first 3 and 6 sign bits of Hu's invariant moments 12 in the Contourlet Transform (CT)-SVD domain of medical images, respectively. Although zerowatermarking are more suitable to protect medical images than the former two categories of watermarking schemes and have good robustness against various common signal attacks, there are still two problems to be addressed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Liu

Lou

Wang

et al. 2018

Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications

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Section: Evaluation Of the Performance For Authentication And Copyrigmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Liu

Lou

Wang

et al. 2018

Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications

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“…In the absence of any type of attack, the PSNR equal to 59. Table 9 illustrates the NC and PSNR values of our proposed system computed according to four medical images and compared with five recent schemes in attack-free case [48][49][50][51]. It can be observed that the NC values are equal to 1 and the average of the obtained PSNR values (61,7769 dB) is moderate.…”

Section: Discussion Of the Proposed Schemamentioning

confidence: 96%

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

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We propose a novel method for medical image watermarking in the DCT domain using the AES encryption algorithm. First, we decompose the original medical image into subblocks of 8 × 8. Besides, we apply the DCT and the quantization, respectively, to each subblock. However, in the DCT domain, an adequate choice of the DCT coefficients according to the quantization table in the middle frequencies band is performed. After that, we embed the patient’s data into the corresponding medical image. The insertion step is carried out just after the quantization phase. To increase the robustness, we encrypt the watermarked medical images by using the AES algorithm based on chaotic technique. Arnold’s cat map is used to shuffle the pixel values, and a chaotic Henon map is utilized to generate an aleatory sequence for the AES algorithm. The shuffled watermarked image is encrypted using the modified AES algorithm. The constant of Weber is used to choose the suitable visibility factor for embedding a watermark with high robustness. To control identification, after application of attacks, we use the serial turbo code for correction of the watermark to recover the data inserted. The average peak signal-to-noise ratio (PSNR) of the medical images obtained is 61,7769 dB. Experimental results demonstrate the robustness of the proposed schema against various types of attacks.

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“…Therefore, there is inevitably a contradiction between imperceptibility and robustness of the watermark. The traditional watermarking methods are usually limited for medical images [32][33][34] and remote-sensing images [35] which require low distortion and high resolution.…”

Section: Introductionmentioning

confidence: 99%

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

et al. 2020

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In this paper, a novel image zero-watermarking scheme against rotation attacks is proposed based on nonsubsampled pyramid decomposition (NSPD) and discrete cosine transform (DCT). It utilizes the intrinsic characteristics of NSPD and DCT to extract the robust feature of an image as the original zero-watermark. To increase the security of the proposed scheme, a variable parameter chaotic mapping (VPCM) is designed for the processes of watermark encryption and robust feature extraction. Firstly, the host gray-scale image is decomposed by NSPD, and the low-frequency sub-band image is divided into nonoverlapping blocks. After the blocks are transformed by DCT, the signs of the first AC coefficients from all the blocks are used to construct a binary feature image. Then an exclusive-or operation is performed between the binary feature image and the encrypted watermark image to obtain the verification zero-watermark image. Furthermore, a method against arbitrary rotation attacks is employed to improve the robustness of the scheme against geometric attacks. The experimental results demonstrate that the proposed scheme is highly robust against various image processing attacks such as filtering, JPEG compression, scaling, translation, rotation and Checkmark attacks. INDEX TERMS Discrete cosine transform, Nonsubsampled pyramid decomposition, Rotation attacks, Variable parameter chaotic mapping, Zero-watermarking.

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Inversion attack resilient zero‐watermarking scheme for medical image authentication

Cited by 28 publications

References 24 publications

Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

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