An efficient and secure medical image protection scheme based on chaotic maps

Fu, Chong; Meng, Wei-hong; Zhan, Yongfeng; Zhu, Zhiliang; Lau, Francis C. M.; Tse, Chi K.; Ma, Hongfeng

doi:10.1016/j.compbiomed.2013.05.005

Cited by 163 publications

(81 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed scheme had classic bi-modular architecture in which the medical image pixels are shuffled via new propose algorithm and also in diffusion process image pixel values are modified by XOR operation. [31][32] Conventional block based image encryption methods are not advised to use for medical image protection due to their large size and increasing demand of telemedicine. A bit level Arnold cat map was adapted for medical image shuffling.…”

Section: Literature Reviewmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

View full text Add to dashboard Cite

Abstract:In this paper, we have proposed a chaos-based visual encryption method that can be applied to Ultra Sound Medical Images. We used adaptive Grey Wolf Optimization (GWO) to archive Ultra Sound Medical Image encryption. The robustness of the proposed image encryption are measured by various security attacks such as key sensitivity, histogram analysis, adjacent pixel autocorrelation, chi-square test, etc. Moreover, analytical outcomes are compared with the conventional algorithms like Genetic Algorithm (GA) and GWO. The experimental result shows that the proposed method is faster with low complexity.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

View full text Add to dashboard Cite

show abstract

“…We refer the readers to our recent contributions [21,23,25] for a brief description of those achievements. Very recently, bit-level permutation algorithms were suggested by some scholars [25][26][27][28][29]. As the permutation is performed on the bit-plane rather than the pixel-plane, the bit-level permutation has the effects of both confusion and diffusion.…”

Section: Introductionmentioning

confidence: 99%

A Symmetric Chaos-Based Image Cipher with an Improved Bit-Level Permutation Strategy

Huang

Wang

et al. 2014

Entropy

Self Cite

View full text Add to dashboard Cite

Abstract：Very recently, several chaos-based image ciphers using a bit-level permutation have been suggested and shown promising results. Due to the diffusion effect introduced in the permutation stage, the workload of the time-consuming diffusion stage is reduced, and hence the performance of the cryptosystem is improved. In this paper, a symmetric chaosbased image cipher with a 3D cat map-based spatial bit-level permutation strategy is proposed. Compared with those recently proposed bit-level permutation methods, the diffusion effect of the new method is superior as the bits are shuffled among different bitplanes rather than within the same bit-plane. Moreover, the diffusion key stream extracted from hyperchaotic system is related to both the secret key and the plain image, which enhances the security against known/chosen plaintext attack. Extensive security analysis has been performed on the proposed scheme, including the most important ones like key space analysis, key sensitivity analysis, plaintext sensitivity analysis and various statistical analyses, which has demonstrated the satisfactory security of the proposed scheme.

show abstract

“…Unfortunately, this kind of permutation strategy suffers from two main disadvantages, that is, the periodicity of discretized version of chaotic maps and applicability to only square images [2][3][4]. To address these two drawbacks, Fu et al [5] suggested an image scrambling scheme using a chaotic sequence sorting mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…In the substitution stage, various discrete chaotic maps and continuous chaotic systems can be employed to generate keystream sequences with desired statistical properties, including the most commonly used ones like the logistic map [2], the Lorenz system [8], the Chen system [9], and varieties of high dimensional chaotic systems [10]. Obviously, low dimensional chaotic maps, especially the logistic map, have the advantages of simplicity and high efficiency but suffer from small key space; in contrast, high dimensional chaotic systems, especially the hyperchaotic systems, provide sufficiently large key space but at the expense of computations.…”

Section: Introductionmentioning

confidence: 99%

A New Chaos-Based Color Image Encryption Scheme with an Efficient Substitution Keystream Generation Strategy

Zhang

Zhu

et al. 2018

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

This paper suggests a new chaos-based color image cipher with an efficient substitution keystream generation strategy. The hyperchaotic Lü system and logistic map are employed to generate the permutation and substitution keystream sequences for image data scrambling and mixing. In the permutation stage, the positions of colored subpixels in the input image are scrambled using a pixel-swapping mechanism, which avoids two main problems encountered when using the discretized version of areapreserving chaotic maps. In the substitution stage, we introduce an efficient keystream generation method that can extract three keystream elements from the current state of the iterative logistic map. Compared with conventional method, the total number of iterations is reduced by 3 times. To ensure the robustness of the proposed scheme against chosen-plaintext attack, the current state of the logistic map is perturbed during each iteration and the disturbance value is determined by plain-pixel values. The mechanism of associating the keystream sequence with plain-image also helps accelerate the diffusion process and increase the degree of randomness of the keystream sequence. Experimental results demonstrate that the proposed scheme has a satisfactory level of security and outperforms the conventional schemes in terms of computational efficiency.

show abstract

An efficient and secure medical image protection scheme based on chaotic maps

Cited by 163 publications

References 38 publications

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

A Symmetric Chaos-Based Image Cipher with an Improved Bit-Level Permutation Strategy

A New Chaos-Based Color Image Encryption Scheme with an Efficient Substitution Keystream Generation Strategy

Contact Info

Product

Resources

About