A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

Gao, Xinyu; Yu, J.J.; Banerjee, Santo; Yan, Hao; Mou, Jun

doi:10.1038/s41598-021-94748-7

Cited by 28 publications

(11 citation statements)

References 67 publications

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“…While people are enjoying the information dividends, potential information security problems are also gradually exposed. As one of the important media of information transmission in the era of big data, digital image has attracted widespread attention for its security during transmission 7 , 8 , so it is important to conduct encryption transmission for digital image. However, compared with text information, digital image information has the characteristics of high information redundancy, strong pixel correlation and discrete distribution of key information, etc 9 – 11 .…”

Section: Introductionmentioning

confidence: 99%

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

Wen

Liu

et al. 2022

Sci Rep

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With the arrival of the age of big data, the amount and types of data in the process of information transmission have increased significantly, and the full-disk encryption mode used by traditional encryption algorithms has certain limitations of the times. In order to further improve the bandwidth efficiency of digital images in the transmission process and the information effectiveness of digital image transmission, this paper proposes an algorithm of high-quality restoration image encryption using DCT frequency-domain compression coding and chaos. Firstly, the image hash value is used for the generation of an encryption key with plaintext correlation, then lightweight chaos is generated based on the key to obtain a pseudo-random sequence. Secondly, the image is partitioned into subblock, and converted from time domain into frequency domain by employing Discrete Cosine Transform (DCT) on each block, then perform quantization operation based on frequency domain information to obtain DCT coefficient matrix. Thirdly, the direct current (DC) coefficients and alternating current (AC) coefficients are extracted in the DCT coefficient matrix and compressed by different encoding methods to obtain two sets of bitstream containing DC coefficient and AC coefficient information. Fourthly, permute the DC coefficient bit stream by the chaotic sequence, and reconstruct it with the AC coefficient bit stream to obtain the frequency domain ciphertext image. Finally, the chaotic sequence is used to diffuse ciphertext, and the processed hash value is hidden in the ciphertext to obtain the final ciphertext. The theoretical and experimental analysis showed that the key length reaches 341 bits, and the PSNR value of the restored image is close to 60, all of which satisfy the theoretical value. Therefore, the algorithm has the characteristics of high compression rate, high-quality image restoration large key space, strong plaintext sensitivity, strong key sensitivity and so on. Our method proposed in this paper is expected to provide a new idea for confidential and secure communication in the age of big data.

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Section: Introductionmentioning

confidence: 99%

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

Wen

Liu

et al. 2022

Sci Rep

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“…Fractional calculus has become more popular and is widely used because of its flexibility, tunability, memory dependency and, hence, ability to model systems [2,3]. Engineering applications of fractional calculus include: bioengineering [4], control [5], filters [6], oscillators [7], energy [8], encryption [9], and chaos [10]. The most common fractional operators are the Grünwald-Letnikov (GL), Caputo, and Riemann-Liouville (RL) [11].…”

Section: Introductionmentioning

confidence: 99%

A Unified FPGA Realization for Fractional-Order Integrator and Differentiator

et al. 2022

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This paper proposes a generic FPGA realization of an IP core for fractional-order integration and differentiation based on the Grünwald–Letnikov approximation. All fractional-order dependent terms are approximated to simpler relations using curve fitting to enable an efficient hardware realization. Compared to previous works, the proposed design introduces enhancements in the fractional-order range covering both integration and differentiation. An error analysis between software and hardware results is presented for sine, triangle and sawtooth signals. The proposed generic design is realized on XC7A100T FPGA achieving frequency of 9.328 MHz and validated experimentally for a sine input signal on the oscilloscope. The proposed unified generic design is suitable for biomedical signal processing applications. In addition, it can be employed as a laboratory tool for fractional calculus education.

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“…A 5D conservative hyperchaotic system [20] was used both in the confusion and diffusion processes of a new image encryption method. Hyperchaos is not only used in the confusion-diffusion image encryption scheme but also have been combined with other techniques such as DNA encoding [21][22][23][24], cellular automata [25,26], and fractional calculus [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

A new image encryption method based on a 6D hyperchaotic map and genetic operators

Demirtaş

2022

Preprint

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This paper presents a novel and secure image encryption method. The plain image’s pixels are confused using the N-point crossover operation of genetic algorithms. Randomly paired rows and columns are determined by the two state variables of a six-dimensional hyperchaotic map. The number of crossover points, which are calculated by the two other state variables of the hyperchaotic map, differ from each other for each row or column pair. The crossover positions are specified according to the number of crossover points with the help of the last two state variables. The proposed algorithm generates the diffusion stage’s encryption key using the SHA-256 hash value of the plain image. Mutation and crossover operators are implemented into the 16-bit subblocks of the 256-bit hash value. Thus, a total of 16 subblocks with the size of 16 bits are employed as the encryption key after the implementation of the genetic operations. The scrambled image’s pixels are altered with the generated encryption key and previously encrypted pixels. Key space and sensitivity, histogram, correlation, information entropy, differential, data loss, noise attack, and computational time analyzes are performed to test the safety and effectiveness of the encryption method. The experiments and simulation results show that the proposed encryption technique is highly secure and efficient since it can resist various attacks. The comparisons with recent works show that this method outperforms many state-of-the-art algorithms in several performance metrics.

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A new image encryption scheme based on fractional-order hyperchaotic system and multiple image fusion

Cited by 28 publications

References 67 publications

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

High-quality restoration image encryption using DCT frequency-domain compression coding and chaos

A Unified FPGA Realization for Fractional-Order Integrator and Differentiator

A new image encryption method based on a 6D hyperchaotic map and genetic operators

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