Secured Medical Images - a Chaotic Pixel Scrambling Approach

Parvees, M. Y. Mohamed; Samath, J. Abdul; Bose, B. Parameswaran

doi:10.1007/s10916-016-0611-5

Cited by 35 publications

(12 citation statements)

References 35 publications

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“…A temporary memory location temp has been used. Equations (33) to (35) are for swapping of rows and equations (36) to (38) for columns. Step 2.7: index1= index1 + 1…”

Section: B Encryption Proceduresmentioning

confidence: 99%

“…In the literature, many encryption schemes based on different swapping techniques exist [33]- [39] targeting single images only. These techniques vary from one another in their design principles.…”

Section: Introductionmentioning

confidence: 99%

“…The majority of these techniques perform the swapping operation on single-pixel only. For instance, in [33], the permutation process was carried out using pixel swapping sequences comprising eight-pixels permutation sequences, eight masking sequences, and lastly, sixteen pixels swapping sequences were generated. In the end, the substitution process was performed using the XOR operation with the masking sequence.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel and Efficient 3D Multiple Images Encryption Scheme Based on Chaotic Systems and Swapping Operations

et al. 2020

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Single image encryption schemes are not efficient enough when a bunch of images is to be encrypted in some real-world setting. To overcome this problem, an efficient and secured multiple images encryption scheme is proposed in this study using two chaotic maps and simple row and column swapping operations in a 3D image space. The N input images are piled to make a 3D image. To confuse the given pixel data, two images are chosen randomly from this pile. The randomly chosen two rows from the two randomly chosen images are swapped with each other. In the same way, two randomly chosen columns are swapped with each other. The operation of randomly chosen two images, two rows, and two columns have been iterated an arbitrary number of times to throw the confusion effects in the pixels data. Intertwining Logistic Map (ILM) and Improved Piecewise Linear Chaotic Map (MPWLCM) have been used to get the four streams of random numbers. The three streams of the former map have been used to create the confusion effects, whereas the fourth stream of random numbers given by the latter map has been used for the diffusion effects. SHA-256 hash codes have been used to throw the plaintext sensitivity in the proposed cipher. Besides, a 256-bit user key has been employed to increase the key space. Both the simulation and the exhaustive security analyses carried out at the end vividly prove the security, resistance to the varied attacks, and the real-world applicability of the proposed cipher.

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“…A temporary memory location temp has been used. Equations (33) to (35) are for swapping of rows and equations (36) to (38) for columns. Step 2.7: index1= index1 + 1…”

Section: B Encryption Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel and Efficient 3D Multiple Images Encryption Scheme Based on Chaotic Systems and Swapping Operations

et al. 2020

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“…It is a cost-effective way of providing appropriate diagnosis, treatment planning and prevention diseases through optimal utilization of specialist expertise and services offered by local health care workers. Teleradiology is one of the telehealth services which include X-rays, magnetic resonance imaging (MRI) computerized tomography (CT) etc [2][3][4]. In eHealth service, the medical images play an important role in the diagnosis, treatment and surgery in almost all diseases.…”

Section: Introductionmentioning

confidence: 99%

Cellular Neural Network-Based Medical Image Encryption

et al. 2020

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This article introduces a novel cryptosystem for the protection of medical images which is very essential in teleradiology applications. The proposed cryptosystem is based on Fridrich architecture which uses hyperchaotic cellular neural network (CNN) and DNA technology to perform cryptographic operations. In this paper, cellular neural network crumb coding transform (CNN-CCT) is proposed to perform confusion operation. It is used to shuffle the pixel values randomly. The diffusion operation is achieved by employing cipher block chain (CBC) mode of XOR operation which provides greater efficiency in hardware platforms. The diffusion operation is used to change the pixel values, thereby achieving the higher security. Simulation and comparison results infer that the proposed cryptosystem is robust against various cryptographic attacks and competitive with the state-of-the-art encryption schemes.

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“…Indeed, transferring medical data obtained via diverse imaging technologies of computed tomography, X-ray radiology, magnetic resonance imaging, ultrasonography, etc. [1] without applying security techniques means low level of privacy for patients. Besides with modified images might result in irreversible wrong diagnostic consequences since such data do not give true reflections of patients' medical conditions [9].…”

Section: Introductionmentioning

confidence: 99%

Hyperchaos for improving the security of medical data

Lagmiri

Elalami²,

Sbiti

et al. 2018

IJET

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Because of the widespread use of medical images and signals in hospitals and healthcare communities, information security and medical data encryption are becoming more important. Cryptography has a specific role, is to protect data against unauthorized access. In this paper, we propose an efficient encryption scheme for medical data using a new hyperchaotic system applied with two algorithms: the first based on random key generation from initial conditions to encrypt a brain MRI and the second algorithm using chaotic masking technique to encrypt the heartbeat signal. The scheme achieves secure encryption and his robustness is measured by various metrics such as histogram analysis, key sensitivity, correlation coefficient and PSNR test. We conclude from the experimental results that the scheme promises stronger resistance against diverse forms of common attacks and high sensitivity to the security keys.

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Secured Medical Images - a Chaotic Pixel Scrambling Approach

Cited by 35 publications

References 35 publications

A Novel and Efficient 3D Multiple Images Encryption Scheme Based on Chaotic Systems and Swapping Operations

A Novel and Efficient 3D Multiple Images Encryption Scheme Based on Chaotic Systems and Swapping Operations

Cellular Neural Network-Based Medical Image Encryption

Hyperchaos for improving the security of medical data

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