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

Ajili, Sondes; Hajjaji, Mohamed Ali; Mtibaa, Abdellatif

doi:10.1155/2021/5559191

Cited by 8 publications

(4 citation statements)

References 51 publications

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“…A new way of medical image watermarking in the DCT domain using the 'Advanced Encryption Standard (AES)' algorithm has been proposed in [22]. The patient data is embedded in the relevant medical image.…”

Section: Related Workmentioning

confidence: 99%

A robust watermarking approach against high‐density salt and pepper noise (RWSPN) to enhance medical image security

Ebrahimnejad,

Naghsh,

Pourghasem

2023

IET Image Processing

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This paper proposes a robust watermarking method against high‐density salt and pepper noise attacks. Automatic region of interest (ROI) detection, embedding encoded data, removing different densities of noise, data extraction by omitting, and labeling the noisy pixels of Region of Non‐Interest (RONI), and decoding the extracted data using ROI pixel information as a key, are various steps of the presented scheme. The automatic ROI detection method separates the RONI from ROI with four vertices of the smallest rectangle, for the embedding process. The encoded watermark data is embedded into the least significant bits of RONI in four neighbour pixels. Adaptive Removal of high‐density Salt and pepper Noise method can enhance image quality and reduce the effect of salt and pepper noise attacks. The embedded information is preserved from destruction if the host image is impaired through the power of robustness. The best results are obtained through the action of extracting the watermark from RONI pixels, utilizing the same ROI detection method. Omitting and labeling the noisy pixels of the RONI will ensure healthy extracted watermark data, leading to decreased Bit Error Rate (BER) values. Finally, these data are interpreted using the key of ROI pixels, and the watermark data is decoded and retrieved. Due to salt and pepper noise obliterating pixel bits and their corresponding transform coefficients in the transform domain, the spatial domain is employed to enhance robustness against such attacks. The results show the high performance of the presented scheme. The average BER value for five MRI databases in a 97% salt and pepper noise attack is 38.6.

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Section: Related Workmentioning

confidence: 99%

A robust watermarking approach against high‐density salt and pepper noise (RWSPN) to enhance medical image security

Ebrahimnejad,

Naghsh,

Pourghasem

2023

IET Image Processing

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“…e images before and after encryption by Logistic Map [18][19][20] and Henon Map [21][22][23] are shown in Figure 2. It can be seen from the image effects before and after encryption that the encrypted image has a good encryption effect, which can effectively protect image data under the condition that the key is not leaked.…”

Section: Encryption Effectmentioning

confidence: 99%

Image Recognition and Encryption Algorithm Based on Artificial Neural Network and Multidimensional Chaotic Sequence

Feng

Chen

2022

Computational Intelligence and Neuroscience

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With the continuous development of Internet technology and technological innovation, image recognition technologies such as face unlocking and face brushing payment have gradually entered daily life. However, it can not be ignored that these technologies not only bring us great convenience but also face great risks. The biological characteristics of a face image are unique, and it will be difficult to modify once it is leaked. If the image information stored in the cloud is leaked because it cannot be properly kept, users have no privacy. The encryption and recognition of face image can effectively solve this problem. Aiming at this, high-dimensional chaos Henon Map and one-dimensional chaos Logistic Map are used to generate a key to complete the encryption of the image in the transformation domain, and the capacity and complexity of the key are further enhanced. Then, combined with BP neural network to achieve face image recognition. Finally, the robustness of the proposed algorithm is verified and analyzed by conventional attacks, geometric attacks, and occlusion attacks.

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“…The researcher varies the Hadamard matrix rotation angles according to the user role to obtain different versions of the encoded image. The paper proposes a crypto-watermarking method for medical images based on Weber's law, DCT, AES and chaotic techniques and tests its security against attacks [5]. The paper demonstrates an innovative method to protect medical images and patient data using watermarking and encryption techniques.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

Sulaman

Umer

Iqbal

et al. 2023

Preprint

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For communication and protection of sensitive medical images, image encryption is necessary. In this research, an innovative hybrid encryption method that com- bines the Radon transform with the Cipher Block Chaining (CBC) algorithm is proposed. The CBC method employs a chaining mechanism and the Advanced Encryption Standard (AES) to protect each block of data. The Radon transform converts an encrypted image into a sinogram while preserving key components of the actual image. From the sinogram representation, the encrypted image is reconstructed using the inverse Radon transform. The proposed approach also employs padding removal for precise image reconstruction and median filter- ing to reduce noise. PSNR (Peak Signal-to-Noise Ratio), MSE (Mean Squared Error), and SSIM (Structural Similarity Index) are employed to evaluate the claimed technique in this research. The suggested approach successfully recon- structs and encrypts medical images while retaining image quality, according to experimental findings. The study contributes to the creation of image encryp- tion methods for medical imaging applications. This protects private medical information confidentiality and privacy.

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

Cited by 8 publications

References 51 publications

A robust watermarking approach against high‐density salt and pepper noise (RWSPN) to enhance medical image security

A robust watermarking approach against high‐density salt and pepper noise (RWSPN) to enhance medical image security

Image Recognition and Encryption Algorithm Based on Artificial Neural Network and Multidimensional Chaotic Sequence

A Novel Approach for Medical Image Security Using the Radon Transform and AES-CBC Algorithm

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