An effective mechanism for medical images authentication using quick response code

Kavitha, C.; Sakthivel, S.

doi:10.1007/s10586-018-1905-9

Cited by 24 publications

(13 citation statements)

References 7 publications

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“…In another study on medical images, QR code and image were watermarking with various algorithms. The success of stigmatization was measured by taking certain parts of the images [24]. In the QR code, the watermarking was used to indicate that the relevant code belongs to a particular organization [25].…”

Section: Scopusmentioning

confidence: 99%

Fake and Real Massaging at the Same Time with QR Code in Web Services for Different Users

Yeşiltepe

Kurulay

2018

Security and Communication Networks

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At present, the notion of a cloud has expanded so much that there is no area of knowledge other than the concept of cloud. The most important reason for this is the ambiguity in the definition of this concept in the literature. Some have used the concept of a mobile cloud to create private cloud environments, while others have defined the cloud as a complex environment consisting of many different entities and layers, while others regard the cloud as parallel, discrete, and grid. In other words, the concept of cloud can sometimes be limited by the user devices and sometimes by the user devices. QR code, which is a precise and accurate way of communicating a text or symbol to the other side, is very broad, as is the concept of cloud use. The use of this technology is increasing with the availability of data encryption algorithms. As an abbreviation of the term “QR code,” the QR phrase “Quick Response,” which is the English language name, is used. In this study, when the same request is requested for different users (clients) in the web service, the response generated by the server at one time is sent to the different users at one time and the users get different messages. It is intended to reduce the load on the server and respond more efficiently to clients. Scrambled steganographic QR codes will be used for these operations. Some of the highlights of the paper are different message transmission with the same QR code to different users in web services and message verification with a hash value, using fake keys and advantage of changeable security mechanism.

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Section: Scopusmentioning

confidence: 99%

Fake and Real Massaging at the Same Time with QR Code in Web Services for Different Users

Yeşiltepe

Kurulay

2018

Security and Communication Networks

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“…The interest of this transform is the optimization of the choice of locations and the strength of the signature in the image as well as its multi-scale aspect which offers a more robust distribution to the watermark [ 12 ]. Adding the watermark to the low-frequency coefficients can cause visible perceptual distortion, as the insertion of the watermark in the high-frequency coefficients is vulnerable to some types of attack like compression [ 13 ]. To obtain a good compromise between robustness and imperceptibility, the integration is performed in the medium frequencies of the image.…”

Section: Introductionmentioning

confidence: 99%

A robust blind medical image watermarking approach for telemedicine applications

et al. 2021

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In order to enhance the security of exchanged medical images in telemedicine, we propose in this paper a blind and robust approach for medical image protection. This approach consists in embedding patient information and image acquisition data in the image. This imperceptible integration must generate the least possible distortion. The watermarked image must present the same clinical reading as the original image. The proposed approach is applied in the frequency domain. For this purpose, four transforms were used: discrete wavelets transform, non-subsampled contourlet transform, non-subsampled shearlet transform and discreet cosine transform. All these transforms was combined with Schur decomposition and the watermark bits were integrated in the upper triangular matrix. To obtain a satisfactory compromise between robustness and imperceptibility, the integration was performed in the medium frequencies of the image. Imperceptibility and robustness experimental results shows that the proposed methods maintain a high quality of watermarked images and are remarkably robust against several conventional attacks. Keywords Medical image Á Digital watermarking Á Discrete wavelet transform Á Non-subsampled contourlet transform Á Non-subsampled shearlet transform Á Discreet cosine transform Á Schur decomposition

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“…Inspired by Wen et al, a large number of zero-watermarking schemes have appeared, and a substantial portion of them create robust features based on the frequency domain [4,5] or hybrids of image transforms and decomposition [6][7][8][9][10][11][12]. Common image transforms such as the DCT (discrete cosine transform) [9,10], DWT (discrete wavelet transform) [4,7,8,11], DFT (discrete Fourier transform) [4], CAT (cellular automata transform) [5], FrFT (fractional Fourier transform) [6], and CT (contourlet transform) [12] have been applied to zero-watermarking. Utilizing the invariance of the significant values in decompositions such as SVD [6][7][8][9][11][12][13] and QR [10] to further improve the robustness is common in zero-watermarking research.…”

Section: Introductionmentioning

confidence: 99%

“…Common image transforms such as the DCT (discrete cosine transform) [9,10], DWT (discrete wavelet transform) [4,7,8,11], DFT (discrete Fourier transform) [4], CAT (cellular automata transform) [5], FrFT (fractional Fourier transform) [6], and CT (contourlet transform) [12] have been applied to zero-watermarking. Utilizing the invariance of the significant values in decompositions such as SVD [6][7][8][9][11][12][13] and QR [10] to further improve the robustness is common in zero-watermarking research. Zerowatermarking in the frequency domain or image decomposition is robust and widely used.…”

Section: Introductionmentioning

confidence: 99%

A Polar Complex Exponential Transform-Based Zero-Watermarking for Multiple Medical Images with High Discrimination

Wang

Liu

2021

Security and Communication Networks

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Zero-watermarking is one of the solutions for image copyright protection without tampering with images, and thus it is suitable for medical images, which commonly do not allow any distortion. Moment-based zero-watermarking is robust against both image processing and geometric attacks, but the discrimination of watermarks is often ignored by researchers, resulting in the high possibility that host images and fake host images cannot be distinguished by verifier. To this end, this paper proposes a PCET- (polar complex exponential transform-) based zero-watermarking scheme based on the stability of the relationships between moment magnitudes of the same order and stability of the relationships between moment magnitudes of the same repetition, which can handle multiple medical images simultaneously. The scheme first calculates the PCET moment magnitudes for each image in an image group. Then, the magnitudes of the same order and the magnitudes of the same repetition are compared to obtain the content-related features. All the image features are added together to obtain the features for the image group. Finally, the scheme extracts a robust feature vector with the chaos system and takes the bitwise XOR of the robust feature and a scrambled watermark to generate a zero-watermark. The scheme produces robust features with both resistance to various attacks and low similarity among different images. In addition, the one-to-many mapping between magnitudes and robust feature bits reduces the number of moments involved, which not only reduces the computation time but also further improves the robustness. The experimental results show that the proposed scheme meets the performance requirements of zero-watermarking on the robustness, discrimination, and capacity, and it outperforms the state-of-the-art methods in terms of robustness, discrimination, and computational time under the same payloads.

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An effective mechanism for medical images authentication using quick response code

Cited by 24 publications

References 7 publications

Fake and Real Massaging at the Same Time with QR Code in Web Services for Different Users

Fake and Real Massaging at the Same Time with QR Code in Web Services for Different Users

A robust blind medical image watermarking approach for telemedicine applications

A Polar Complex Exponential Transform-Based Zero-Watermarking for Multiple Medical Images with High Discrimination

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