An Image Encryption Algorithm Based on Hyperchaotic System and Variable-Step Josephus Problem

Zhang, Xuncai; Wang, Lingfei; Wang, Yanfeng; Niu, Ying; Li, Yinhua

doi:10.1155/2020/6102824

Cited by 25 publications

(10 citation statements)

References 33 publications

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“…Additionally, statistical analysis is of vital importance to determine strength of encrypted data. The effectiveness of the hyperchaotic system used in this work has been reported in [ 67 , 68 ] by successfully subjecting it to various tests of Statistical Test suite (NIST SP 800-22).…”

Section: Resultsmentioning

confidence: 99%

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various sensors. The EHR is processed and transmitted to distant experts for better diagnosis and improved healthcare delivery. However, for the successful implementation of Heath 4.0 many challenges do exist. One of the critical issues that needs attention is the security of EHRs in smart health systems. In this work, we have developed a new interpolation scheme capable of providing better quality cover media and supporting reversible EHR embedding. The scheme provides a double layer of security to the EHR by firstly using hyperchaos to encrypt the EHR. The encrypted EHR is reversibly embedded in the cover images produced by the proposed interpolation scheme. The proposed interpolation module has been found to provide better quality interpolated images. The proposed system provides an average peak signal to noise ratio (PSNR) of 52.38 dB for a high payload of 0.75 bits per pixel. In addition to embedding EHR, a fragile watermark (WM) is also encrypted using the hyperchaos embedded into the cover image for tamper detection and authentication of the received EHR. Experimental investigations reveal that our scheme provides improved performance for high contrast medical images (MI) when compared to various techniques for evaluation parameters like imperceptibility, reversibility, payload, and computational complexity. Given the attributes of the scheme, it can be used for enhancing the security of EHR in health 4.0.

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Section: Resultsmentioning

confidence: 99%

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Aljuaid¹,

Parah²

2021

Sensors

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“…It is observed that this paper can encrypt the color image very fast. According to the comparison in Table 13, this work may run faster than some other encryption algorithms [2], [25], [40], [41]. To sum up, the time complexity of the proposed encryption scheme is high, and it can be well applied to image secure communication.…”

Section: J Speed Analysis and Complexitymentioning

confidence: 99%

A Novel Color Image Encryption Algorithm Based on Three-Dimensional Chaotic Maps and Reconstruction Techniques

Qian

Yang

et al. 2021

IEEE Access

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In the paper, a novel color image encryption scheme is proposed by use of the threedimensional chaotic maps and some data reconstruction techniques. In the diffusion process of the encryption algorithm, the three-dimensional chaotic Logistic map is introduced to changes the pixel value of the plain image. Meanwhile, in the confusion process, the three-dimensional chaotic Cat map is applied to deal with the position of the image pixels. Moreover, some data reconstruction techniques are employed for the better encryption result. Furthermore, the corresponding decryption algorithm is also given. The significant advantages of our method are the effectiveness and simplicity, and our proposed method breaks the correlation between image pixel layers, offers a large key space and against differential and statistical attacks effectively. Finally, the superiority of the proposed algorithm will be shown by the experimental results, security analysis, and the corresponding comparisons with literature.

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“…Note that the differences in execution time depends on multiple factors, including the algorithm itself, the machine specifications on which the algorithm is run (i.e., processing power and available memory), as well as the software running the algorithm. Note that in [77,[80][81][82], the software of choice is Mathworks Matlab ® , whereas the proposed scheme is programmed on Wolfram Mathematica ® . The average encryption time of the proposed image encryption scheme is 0.61 Mbps.…”

Section: Execution Time Analysismentioning

confidence: 99%

RGB Image Encryption through Cellular Automata, S-Box and the Lorenz System

2022

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The exponential growth in transmission of multimedia over the Internet and unsecured channels of communications is putting pressure on scientists and engineers to develop effective and efficient security schemes. In this paper, an image encryption scheme is proposed to help solve such a problem. The proposed scheme is implemented over three stages. The first stage makes use of Rule 30 cellular automata to generate the first encryption key. The second stage utilizes a well-tested S-box, whose design involves a transformation, modular inverses, and permutation. Finally, the third stage employs a solution of the Lorenz system to generate the second encryption key. The aggregate effect of this 3-stage process insures the application of Shannon’s confusion and diffusion properties of a cryptographic system and enhances the security and robustness of the resulting encrypted images. Specifically, the use of the PRNG bitstreams from both of the cellular automata and the Lorenz system, as keys, combined with the S-box, results in the needed non-linearity and complexity inherent in well-encrypted images, which is sufficient to frustrate attackers. Performance evaluation is carried out with statistical and sensitivity analyses, to check for and demonstrate the security and robustness of the proposed scheme. On testing the resulting encrypted Lena image, the proposed scheme results in an MSE value of 8923.03, a PSNR value of 8.625 dB, an information entropy of 7.999, NPCR value of 99.627, and UACI value of 33.46. The proposed scheme is shown to encrypt images at an average rate of 0.61 Mbps. A comparative study with counterpart image encryption schemes from the literature is also presented to showcase the superior performance of the proposed scheme.

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An Image Encryption Algorithm Based on Hyperchaotic System and Variable-Step Josephus Problem

Cited by 25 publications

References 33 publications

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

Secure Patient Data Transfer Using Information Embedding and Hyperchaos

A Novel Color Image Encryption Algorithm Based on Three-Dimensional Chaotic Maps and Reconstruction Techniques

RGB Image Encryption through Cellular Automata, S-Box and the Lorenz System

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