Efficient joint encryption and data hiding algorithm for medical images security

Abdel-Nabi, Hiba; Al-Haj, Ali

doi:10.1109/iacs.2017.7921962

Cited by 18 publications

(4 citation statements)

References 15 publications

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“…Subsequently, we evaluate it by calculating the entropy value. Compared with recent works in [44][45][46][47], as shown in Table 8, we obtained a good entropy very close to 8 bits/pixel.…”

Section: Experiments Results Of the Encryption Schemasupporting

confidence: 58%

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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“…Subsequently, we evaluate it by calculating the entropy value. Compared with recent works in [44][45][46][47], as shown in Table 8, we obtained a good entropy very close to 8 bits/pixel.…”

Section: Experiments Results Of the Encryption Schemasupporting

confidence: 58%

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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“…In [13], Nabi et.al, proposed a crypto based watermarking approach based on AES algorithm and reversible data hiding scheme to secure the medical image.…”

Section: Related Workmentioning

confidence: 99%

High Capacitive Secure Image Transmission Over Wireless Channels

2021

IJATCSE

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Expansion of internet connectivity and its usage globally has increased various demands of providing security for the data transmission. Telemedicine is a modern way of medical care that can be extended to any remote place across the globe. This medical care practice is a result of the deployment of communication systems and information technology into healthcare system. With this technology the diagnosed data can be shared with physician and take his consultation remarks and also physicians can access to diagnostic archive and share for medical practice and learning. However, this exchange of information is confined with several risks of data theft when they are shared in open networks and hence they are to be protected with high security algorithms. This paper provides a high capacitive security algorithm for protecting the images with hidden confidential information. The approach provides a two-way security by encrypting the clinical information initially and embedding it imperceptibly in the concerned image so that the user on other can obtain both the visual and text data at same instance

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“…Abdel-Nabi and Al-Haj [27], proposed a cryptowatermarking approach based on AES standard encryption algorithm and reversible watermarking data hiding technique to secure medical images. The results proved that the proposed approach achieves both the authenticity and integrity of the images either in the spatial domain or the encrypted domain or both domains.…”

Section: Related Workmentioning

confidence: 99%

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

et al. 2018

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Due to the significant advancement of the Internet of Things (IoT) in the healthcare sector, the security, and the integrity of the medical data became big challenges for healthcare services applications. This paper proposes a hybrid security model for securing the diagnostic text data in medical images. The proposed model is developed through integrating either 2-D discrete wavelet transform 1 level (2D-DWT-1L) or 2-D discrete wavelet transform 2 level (2D-DWT-2L) steganography technique with a proposed hybrid encryption scheme. The proposed hybrid encryption schema is built using a combination of Advanced Encryption Standard, and Rivest, Shamir, and Adleman algorithms. The proposed model starts by encrypting the secret data; then it hides the result in a cover image using 2D-DWT-1L or 2D-DWT-2L. Both color and gray-scale images are used as cover images to conceal different text sizes. The performance of the proposed system was evaluated based on six statistical parameters; the peak signal-to-noise ratio (PSNR), mean square error (MSE), bit error rate (BER), structural similarity (SSIM), structural content (SC), and correlation. The PSNR values were relatively varied from 50.59 to 57.44 in case of color images and from 50.52 to 56.09 with the gray scale images. The MSE values varied from 0.12 to 0.57 for the color images and from 0.14 to 0.57 for the gray scale images. The BER values were zero for both images, while SSIM, SC, and correlation values were ones for both images. Compared with the state-of-the-art methods, the proposed model proved its ability to hide the confidential patient's data into a transmitted cover image with high imperceptibility, capacity, and minimal deterioration in the received stego-image.

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Efficient joint encryption and data hiding algorithm for medical images security

Cited by 18 publications

References 15 publications

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

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

High Capacitive Secure Image Transmission Over Wireless Channels

Secure Medical Data Transmission Model for IoT-Based Healthcare Systems

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