Analysis of security problems in a medical image encryption system (original) (raw)
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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.
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.
Performances analysis of image encryption for medical applications
2015
This work is interested in securing transmission of digital images on the Internet, in public or local networks such as medical images, military or biometrics (authentication retina or fingerprint). We will implement three famous algorithms which are the RSA, DES and AES. The first one uses an asymmetric method for generating the keys (public and private) hence the second and the third algorithms are symmetric cipher block and use only private key for ciphering and deciphering. The simulation results will be presented and discussed in function of two main security parameters which are the length of the information blocks and the key length. Finally, a comparative study between the three techniques is conducted in order to classify everyone by the best performances of robustness especially with the presence of different kinds of attacks.
A Survey on Security on Medical Data and Images in Healthcare Systems
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, 2020
The development in the field of networking technologies and telecommunications has increased the popularity of telemedicine usage. In medical diagnosis, many processes have been proposed by researchers for securing patients' records and medical images that are sent from one location to another. This paper represents a technical survey on various cryptographic and watermarking processes that are applied on different medical images for secure transmission. Deterioration in the quality of the medical data or images at the time of transmission may endanger the treatment of patients, therefore, lossless and reversible methods need to be emphasized. In this study, we have analyzed some of the most relevant existing works in this area. On the basis of this analysis, we have tried to identify the open issues in the field of secure medical image transmission in order to provide secure transmission and ensure enhanced quality of treatment of the patients.
Engineering Review, 2012
Modern day hospital management systems rely heavily on electronic data processing to maintain patient records. These electronic medical records (EMRs) must be maintained in an unaltered form by the creator. The need for a secure data handling method for the transmission and storage of text and digital media, comprising patient's diagnostic history, imaging, scans, etc., is indispensible. This paper presents a novel method of text encryption by means of symmetric key encryption technique, using variable length key derived from the encrypted text itself.
2019 Amity International Conference on Artificial Intelligence (AICAI)
Computer aided diagnostic is one of the most active research area and has huge impact on the health care industry. With the advent of intelligent methods, biomedical data processing becomes easier and less error prone. Moreover, remote health care is also possible using the IoT infrastructure. However, data security over the network is always considered as a challenge. Biomedical data are generally sensitive to external disturbances and small manipulation in the data may cause huge difference in the ultimate result. Wrong diagnosis can be life threatening in some scenarios or can be severe in almost every instance. Therefore, biomedical data security is one of the major challenge and necessary for remote health care. In this work, some application of cryptographic methods have been discussed which are used to protect biomedical images from unwanted modifications and access. This work can be highly beneficial in future research in the field of biomedical image protection as well as multimedia data security.
Improving the Security of the Medical Images
International Journal of Advanced Computer Science and Applications, 2013
Applying security to the transmitted medical images is important to protect the privacy of patients. Secure transmission requires cryptography, and watermarking to achieve confidentiality, and data integrity. Improving cryptography part needs to use an encryption algorithm that stands for a long time against different attacks. The proposed method is based on number theory and uses Chinese remainder theorem as a backbone. This approach achieves high level of security and stands against different attacks for a long time.
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.
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.