A Cryptographic Technique for Security of Medical Images in Health Information Systems

Kester, Quist-Aphetsi; Nana, Laurent; Pascu, Anca Christine; Gire, Sophie; Eghan, Moses Jojo; Quaynor, Nii Narku

doi:10.1016/j.procs.2015.08.070

Cited by 31 publications

(12 citation statements)

References 4 publications

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“…Moreover, the proposed method shows outstanding performance in case of MRI and Ultrasound images. Arithmetic mean of Kester and coauthors [22] differs with image type and proposed CCE method produces the same mean irrespective of image type. As the proposed method uses RC4 encryption, the results depend on smoothened key image.…”

Section: Quantitative Analysismentioning

confidence: 89%

“…Similarly, Bouslimi and coauthors [21] proposed another joint encryption/watermarking system for protecting medical images. Kester and coauthors [22] implemented fully recoverable encrypted and watermarked image technique.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Most of the proposals implemented gray image security except Kester and coauthors [22]. Moreover, very few proposals addressed both watermarking along with encryption and only Rajendra and coauthors [20] addressed embedding of patient information.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Vol.63: e20180473, 2020 www.scielo.br/babt more visual scrambling of the image. Quantitative results of above four encrypted images are tabulated in Table 1 and proposed method shows good performance when compared to Kester and coauthors [22] method which addressed color image security like the proposed method. Moreover, the proposed method shows outstanding performance in case of MRI and Ultrasound images.…”

Section: Quantitative Analysismentioning

confidence: 99%

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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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Section: Quantitative Analysismentioning

confidence: 89%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Quantitative Analysismentioning

confidence: 99%

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Fast Medical Image Security Using Color Channel Encryption

Venkateswarlu

2020

Braz. arch. biol. technol.

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“…The aim of our study is to perform image encryption and decryption in a health information system, as shown in the infrastructure in Figure 2. Health information systems are utility infrastructures consisting of tele-medical procedures, remote health care services, and cloud storage [35]. Medical imaging data are important information for further diagnostic, digital health, and artificial intelligence applications, such as the establishment of surgical operation guidelines and advanced diagnostic tools.…”

Section: B Plain Image Encryption With Hash Transformationmentioning

confidence: 99%

Medical Image Infosecurity Using Hash Transformation and Optimization-Based Controller in a Health Information System: Case Study in Breast Elastography and X-Ray Image

Chen

et al. 2020

IEEE Access

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In recent years, several countries have increasingly promoted digital health to improve medical care quality and precision medicine. Concerns such as how to employ and manage medical data, including physiological signals and medical images, have emerged as one of the core issues in eHealth. The National Health Insurance of Taiwan has gradually generated cross-hospital medical image databases since the year 2018, including lung cancer, brain tumor, breast tumor, liver tumor, and coronary arterial diseases. Digitized medical image data can be stored in cloud databases or be transmitted via computer networks or wireless transmissions. However, patient confidentiality and transmission infosecurity are serious concerns in public channels or spaces, which raises the question of how to prevent data from being stolen, tampered, or peeked after receipt by unauthorized people. Hence, infosecurity has become an important issue in the digital era. This study proposes hash transformation with multi-secret keys and an optimization-based controller to engage a novel cryptographic method to encrypt and decrypt digital medical images in a health information system. Both the gradient descent (GD) and the particle swarm optimization (PSO)-based controllers are implemented to search the decryption key parameters. For a case study in breast elastography and X-ray images consisting of 150 benign tumors and 150 malignant tumors, the peak signal-to-noise ratio (PSNR) is used to evaluate the similarity of two images between the original images and the decrypted images. Conclusively, the PSO-based controller performed better than the GD-based controller and traditional cryptographic methods in terms of recovery reliability. INDEX TERMS Digital health, infosecurity, hash transformation, optimization based controller, signal-tonoise ratio.

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Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

Akkasaligar

Biradar

2022

Concurrency and Computation

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Summary In telemedicine and e‐health system, the medical images are transmitted through telecommunication. In telecommunication, medical images are transmitted through open source networks. The hackers can tamper or add noise to medical images. Diagnosing the correct disease from the altered medical images is highly impossible. Hence indulge with security, confidentiality and integrity for medical images. In this work, heterogeneous hyper chaotic maps, deoxyribonucleic acid (DNA) cryptography and SHA‐512 is proposed in a new multilevel cryptosystem. The multilevel permutation is performed using heterogeneous chaotic map and zigzag transform. The multilevel diffusion is performed using DNA multiplication and DNA ADD operation. To verify the integrity the SHA‐512 is employed. All DNA coding, and DNA decoding rules are employed dynamically to generate the encrypted medical image. The introduced multilevel cryptosystem provide better security analysis for medical image transmission. The proposed method is implemented in MATLAB software. The performance of proposed approach is associated with existing approaches in terms of evaluating parameters like NPCR (number of pixel changing rate), UACI (unified average changed intensity), correlation coefficient and time taken in seconds. Hence it proves the performance and efficiency of the proposed method are high as compared to the existing methods. The proposed approach also improves the security level and offers integrity and confidentiality, and provide better medical image for encryption with less time complexity.

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A Cryptographic Technique for Security of Medical Images in Health Information Systems

Cited by 31 publications

References 4 publications

Fast Medical Image Security Using Color Channel Encryption

Fast Medical Image Security Using Color Channel Encryption

Medical Image Infosecurity Using Hash Transformation and Optimization-Based Controller in a Health Information System: Case Study in Breast Elastography and X-Ray Image

Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

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