Medical imaging security using partial encryption and histogram shifting watermarking

Abdel-Nabi, Hiba; Al-Haj, Ali

doi:10.1109/icitech.2017.8079950

Cited by 20 publications

(12 citation statements)

References 8 publications

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“…This method enhances the security of the image, but it is difficult to retrieve the image. The second method we evaluated was that of Abdel-Nabi and Al-Haj [20] who proposed another information embedding algorithm, where the hidden information is embedded into the image. Table 4 shows comparisons of figure size, type, and PSNR.…”

Section: Comparison Between Image Protection Methodsmentioning

confidence: 99%

“…For this application, trying to hide what is in the sensitive areas, a low PSNR means more distortion, which makes it harder to visualize what is present. In a somewhat different approach, Abdel-Nabi et al [20] divides the image into two segments; one segment has a watermark embedded first and then is encrypted, while the second segment is encrypted and then has a watermark applied. The second watermark can be used to allow verification that the encrypted file has not been modified (tampered); the first watermark allows the end user to know that the image itself hasn't been modified during encryption/decryption.…”

Section: Introductionmentioning

confidence: 99%

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A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Zhang

et al. 2020

BMC Med Inform Decis Mak

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Background Medical image data, like most patient information, have a strong requirement for privacy and confidentiality. This makes transmitting medical image data, within an open network, problematic, due to the aforementioned issues, along with the dangers of data/information leakage. Possible solutions in the past have included the utilization of information-hiding and image-encryption technologies; however, these methods can cause difficulties when attempting to recover the original images. Methods In this work, we developed an algorithm for protecting medical image key regions. Coefficient of variation is first employed to identify key regions, a.k.a. image lesion areas; then additional areas are processed as blocks and texture complexity is analyzed. Next, our novel reversible data-hiding algorithm embeds lesion area contents into a high-texture area, after which an Arnold transformation is utilized to protect the original lesion information. After this, we use image basic information ciphertext and decryption parameters to generate a quick response (QR) code used in place of original key regions. Results The approach presented here allows for the storage (and sending) of medical image data within open network environments, while ensuring only authorized personnel are able to recover sensitive patient information (both image and meta-data) without information loss. Discussion Peak signal to noise ratio and the Structural Similarity Index measures show that the algorithm presented in this work can encrypt and restore original images without information loss. Moreover, by adjusting the threshold and the Mean Squared Error, we can control the overall quality of the image: the higher the threshold, the better the quality and vice versa. This allows the encryptor to control the amount of degradation as, at appropriate amounts, degradation aids in the protection of the image. Conclusions As shown in the experimental results, the proposed method allows for (a) the safe transmission and storage of medical image data, (b) the full recovery (no information loss) of sensitive regions within the medical image following encryption, and (c) meta-data about the patient and image to be stored within and recovered from the public image.

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Section: Comparison Between Image Protection Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Zhang

et al. 2020

BMC Med Inform Decis Mak

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“…Abdmouleh and coauthors [18] presented a new approach of partial encryption based on the Discrete Wavelet Transform (DWT). Abdel-Nabi and coauthors [19] implemented a simple and efficient joint reversible data hiding and encryption algorithm. Rajendra and coauthors [20] presented a diverse approach that interleaves patient information with medical images to reduce storage and transmission overheads.…”

Section: Literature Reviewmentioning

confidence: 99%

Fast Medical Image Security Using Color Channel Encryption

Venkateswarlu

2020

Braz. arch. biol. technol.

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Evolution of digital Health-care Information System established Medical Image Security as the new contemporary research area. Most of the researchers used either image watermarking or image encryption to address medical image security. However, very few proposals focused on both issues. This paper has implemented a Fast Medial Image Security algorithm for color images that uses both watermarking and encryption of each color channel. The proposed method starts with embedding of a smoothened key image (K) and patient information over the original image (I) to generate a watermarked image (W). Then, each color channel of the watermarked image (W) is encrypted separately to produce an encrypted image (E) using the same smoothened key image (K). This image can be transmitted over the public network and the original image (I) can be achieved using decryption algorithm followed by de-watermarking using the same key image (K) at the receiver. Qualitative and quantitative results of the proposed method show good performance when compared with the existing method with high Mean, PSNR and Entropy.

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“…As a result of the rapid development in the field of image processing and the high ability to change some of the information is only discovered by specialists. There was a need to encrypt the medical information sent to be preserved [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A robust watermarking algorithm for medical images

Nagm

Safy²

2020

IJEECS

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<p>Integrated healthcare systems require the transmission of medical images between medical centres. The presence of watermarks in such images has become important for patient privacy protection. However, some important issues should be considered while watermarking an image. Among these issues, the watermark should be robust against attacks and does not affect the quality of the image. In this paper, a watermarking approach employing a robust dynamic secret code is proposed. This approach is to process every pixel of the digital image and not only the pixels of the regions of non-interest at the same time it preserves the image details. The performance of the proposed approach is evaluated using several performance measures such as the Mean Square Error (MSE), the Mean Absolute Error (MAE), the Peak Signal to Noise Ratio (PSNR), the Universal Image Quality Index (UIQI) and the Structural Similarity Index (SSIM). The proposed approach has been tested and shown robustness in detecting the intentional attacks that change image, specifically the most important diagnostic information.</p>

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Medical imaging security using partial encryption and histogram shifting watermarking

Cited by 20 publications

References 8 publications

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology

Fast Medical Image Security Using Color Channel Encryption

A robust watermarking algorithm for medical images

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