Efficient Storage and Encryption of 32-Slice CT Scan Images Using Phase Grating (original) (raw)

Secure and Robust Optical Multi-Stage Medical Image Cryptosystem

Computers, Materials & Continua

Due to the rapid growth of telemedicine and healthcare services, color medical image security applications have been expanded precipitously. In this paper, an asymmetric PTFrFT (Phase Truncated Fractional Fourier Transform)-based color medical image cryptosystem is suggested. Two different phases in the fractional Fourier and output planes are provided as deciphering keys. Accordingly, the ciphering keys will not be employed for the deciphering procedure. Thus, the introduced PTFrFT algorithm comprises asymmetric ciphering and deciphering processes in contrast to the traditional optical symmetric OSH (Optical Scanning Holography) and DRPE (Double Random Phase Encoding) algorithms. One of the principal impacts of the introduced asymmetric cryptosystem is that it eliminates the onedimensionality aspects of the related symmetric cryptosystems due to its remarkable feature of phase nonlinear truncation components. More comparisons on various color medical images are examined and analyzed to substantiate the cryptosystem efficacy. The achieved experimental outcomes ensure that the introduced cryptosystem is robust and secure. It has terrific cryptography performance compared to conventional cryptography algorithms, even in the presence of noise and severe channel attacks.

An Efficient Image Encryption Scheme for Medical Image Security

FOREX Publication, 2024

In the contemporary landscape of digital healthcare, the confidentiality and integrity of medical images have become paramount concerns, necessitating the development of robust security measures. This research endeavors to address these concerns by proposing an innovative image encryption scheme tailored specifically for enhancing medical image security. The proposed scheme integrates a sophisticated blend of symmetric and asymmetric encryption techniques, complemented by a novel key management system, to fortify the protection of medical image data against unauthorized access and malicious tampering. The proposed DNA-based encryption algorithm leverages the unique properties of DNA encoding to securely scramble image data, providing an added layer of protection. By utilizing DNA sequences in the encryption and decryption processes, the scheme achieves a high level of data confusion and diffusion, significantly enhancing security. The efficacy of the proposed encryption scheme is validated through comprehensive experimental evaluations, which demonstrate its proficiency in ensuring data security while maintaining computational efficiency. The scheme's compatibility with existing medical imaging systems is also examined, affirming its seamless integration into contemporary healthcare infrastructures. This research contributes to the advancement of medical image security by proposing an efficient encryption scheme that strikes a balance between stringent security requirements and practical implementation considerations. The primary contributions include the development of a DNA-based encryption algorithm and a novel key management system, both of which significantly enhance the security of medical images. This research contributes to the advancement of medical image security by proposing an efficient encryption scheme that strikes a balance between stringent security requirements and practical implementation considerations. By safeguarding the confidentiality and integrity of medical images, the proposed scheme empowers healthcare providers to uphold patient privacy and trust in the digital age. Experimental results show that this approach ensures robust encryption without compromising image quality, making it suitable for sensitive medical imaging applications.

An efficient image encryption scheme for healthcare applications

Multimedia Tools and Applications

In recent years, there has been an enormous demand for the security of image multimedia in healthcare organizations. Many schemes have been developed for the security preservation of data in e-health systems however the schemes are not adaptive and cannot resist chosen and known-plaintext attacks. In this contribution, we present an adaptive framework aimed at preserving the security and confidentiality of images transmitted through an e-healthcare system. Our scheme utilizes the 3D-chaotic system to generate a keystream which is used to perform 8-bit and 2-bit permutations of the image. We perform pixel diffusion by a key-image generated using the Piecewise Linear Chaotic Map (PWLCM). We calculate an image parameter using the pixels of the image and perform criss-cross diffusion to enhance security. We evaluate the scheme's performance in terms of histogram analysis, information entropy analysis, statistical analysis, and differential analysis. Using the scheme, we obtain the average Number of Pixels Change Rate (NPCR) and Unified Average Changing Intensity (UACI) values for an image of size 256 × 256 equal to 99.5996 and 33.499 respectively. Furthermore, the average entropy is 7.9971 and the average Peak Signal to Noise Ratio (PSNR) is 7.4756. We further test the scheme on 50 chest X-Ray images of patients having COVID-19 and viral pneumonia and found the average values of variance, PSNR, entropy, and Structural Similarity Index (SSIM) to be 257.6268, 7.7389, 7.9971, and 0.0089 respectively. Furthermore, the scheme generates completely uniform histograms for medical images which reveals that the scheme can resist statistical attacks and can be applied as a security framework in AI-based healthcare.

Medical image encryption techniques: a technical survey and potential challenges

International Journal of Electrical and Computer Engineering (IJECE), 2023

Among the most sensitive and important data in telemedicine systems are medical images. It is necessary to use a robust encryption method that is resistant to cryptographic assaults while transferring medical images over the internet. Confidentiality is the most crucial of the three security goals for protecting information systems, along with availability, integrity, and compliance. Encryption and watermarking of medical images address problems with confidentiality and integrity in telemedicine applications. The need to prioritize security issues in telemedicine applications makes the choice of a trustworthy and efficient strategy or framework all the more crucial. The paper examines various security issues and cutting-edge methods to secure medical images for use with telemedicine systems.

Securing Medical Images by Image Encryption using Key Image

International Journal of Computer Applications, 2014

This paper presents two methods for encryption and decryption of images using XOR operation. In the first method the original image is encrypted by the key image using XOR operation and decryption process also uses the same key image with XOR operation. In the second method one of the bit planes of the key image is used for encrypting the bit planes of the original image and shuffling is done for getting the encrypted image. This method also uses XOR operation. Both the methods use a binary image of the same size as key for encrypting the original image. Experiments have shown that both algorithms are suitable for 2D as well as 3D images. These algorithms are implemented in MATLAB environment and tested on various medical images which have shown good results. These methods can be used for encrypting other images also.

Analysis of security problems in a medical image encryption system

Computers in Biology and Medicine, 2007

Recently a new system for the secure transmission and efficient storage of medical images interleaved with patient information has been proposed in 2003 by Rajendra Acharya et al. In this paper we analyse the security of this system, showing how to improve it to obtain a truly secure system.

A Fresnelet-Based Encryption of Medical Images using Arnold Transform

Medical images are commonly stored in digital media and transmitted via Internet for certain uses. If a medical information image alters, this can lead to a wrong diagnosis which may create a serious health problem. Moreover, medical images in digital form can easily be modified by wiping off or adding small pieces of information intentionally for certain illegal purposes. Hence, the reliability of medical images is an important criterion in a hospital information system. In this paper, the Fresnelet transform is employed along with appropriate handling of the Arnold transform and the discrete cosine transform to provide secure distribution of medical images. This method presents a new data hiding system in which steganography and cryptography are used to prevent unauthorized data access. The experimental results exhibit high imperceptibility for embedded images and significant encryption of information images.

An Efficient Method for Secured Transfer of Medical Images

Transmission of multimedia data is in a secured manner in different channels is found to be one of the complex tasks. Due to heavy traffic in the network, chances of data drop are also very high. In such cases, intruder or any third party can tap the information where the security is compromised. Hence to reduce the transmission time, a novel method is introduced here that provides security of the data as well as compression for faster transmission of data. We have seen substitution cipher scheme has gained prominence in the cryptographic system. The proposed technique considers two arrays namely row array and column array where encrypted data is stored. Encryption is based on the key of random array. All color components of the pixels of the image are encrypted individually. Addition modulo 256 is applied one pixel values using a random number. Individually encrypted colors are combined together to form an encrypted image. This encrypted image is compressed using Deflate compression technique. Performance of the proposed method is evaluated on many images and comparative study with the existing system revealed that the proposed system possess better performance.

A Visual Cryptographic Encryption Technique for Securing Medical Images

2013

The increased growth in the use of transmission of multimedia medical contents over unsecured and open networks provides insecurity for confidential patient information over these networks. Digital encryption of medical images before transmission and storage is proposed as a way to effectively provide protection of patient information. Encryption before watermarking of these images is necessary in order to ensure inaccessibility of information to unauthorized personnel with patient. This paper presented a visual cryptographic technique for encrypting of medical images before transmission or storage of them. This will make such images inaccessible by unauthorized personnel and also ensures confidentiality. The process made use of an encryption technique that is based on pixel shuffling and a secret key generated from the image.