A stable meaningful image encryption scheme using the newly-designed 2D discrete fractional-order chaotic map and Bayesian compressive sensing

Zhu, Liya; Jiang, Donghua; Ni, Jiangqun; Wang, Xingyuan; Rong, Xianwei; Ahmad, Musheer; Chen, Yingpin

doi:10.1016/j.sigpro.2022.108489

Cited by 66 publications

(24 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The better the imperceptibility of the steganographic image, the higher the visual security of the image encryption scheme. Table 5 shows the PSNR and MSSIM values of the carrier image and steganographic image between the encryption scheme proposed in this article and the reference [41,42]. From the data analysis, it can be seen that our scheme has excellent steganographic image imperceptibility, and PSNRste is 7.6% and 9.1% higher than [41,42], respectively, which confirms the effectiveness of embedding.…”

Section: Visual Securitymentioning

confidence: 54%

Visual image encryption algorithm based on compressed sensing and 2D cosine -type logistic map

Ren¹,

Teng²,

Jiang³

et al. 2023

Phys. Scr.

Self Cite

View full text Add to dashboard Cite

A new two-dimensional cosine-type Logistic map (2D-CTLM) is proposed in this paper. Performance analysis shows that 2D-CTLM has good ergodicity, complex behavior, and a wide range of chaotic regions. To study its application, an adaptive embedded high visual security image encryption scheme is proposed by combining the system with two-dimensional compression sensing to address the shortcomings of fixed embedding positions and low transmission efficiency in existing schemes. The embedding position is fixed when the ciphertext image is embedded into the carrier image. When embedded in an inappropriate location, it will affect the decryption quality and the imperceptibility of the steganographic image. Firstly, the initial value of 2D-CTLM system is generated by using the information entropy of plaintext image and counter to generate random measurement matrix, which is used to compress and encrypt plaintext image from two directions at the same time. Secondly, the compressed cipher image is scrambled by the initial matrix generated by the GOL (game of life) rules in two-dimensional cellular automata to obtain the ciphertext image. Finally, the most suitable embedding position in the carrier image is found by combining information entropy and edge entropy. Then the unquantized ciphertext image is embedded into it by ST (slant transform) embedding method to obtain a high visual security image. To improve the transmission efficiency, the color carrier image can be selected to transmit three gray plaintext images at the same time, maintain high-quality reconstruction effect. SHA-512 and the information entropy of plaintext image are used to generate the initial value of encryption and measurement matrix, enhance the correlation between the algorithm and plaintext image, and effectively resist known plaintext and selective plaintext attacks. Simulation results and performance analysis show that compared with the existing encryption schemes, the encryption scheme has excellent visual effect, good decryption quality and good robustness.

show abstract

Section: Visual Securitymentioning

confidence: 54%

Visual image encryption algorithm based on compressed sensing and 2D cosine -type logistic map

Ren¹,

Teng²,

Jiang³

et al. 2023

Phys. Scr.

Self Cite

View full text Add to dashboard Cite

show abstract

“…To demonstrate the superiority of our proposed algorithm in terms of visual safety and reconstruction quality, we compare it with [29, 49, 53, 54]. Table 5 shows the comparison of the PSNR values between the plain images and the reconstructed images under different meaningful visual image encryption schemes.…”

Section: Simulation Results and Analysismentioning

confidence: 99%

Explore the potential of deep learning and hyperchaotic map in the meaningful visual image encryption scheme

Chen

Wang

Xiao

et al. 2023

IET Image Processing

View full text Add to dashboard Cite

In recent years, meaningful visual image encryption schemes that the plain image is compressed and encrypted and then hidden into the carrier image have received increasing attention. This paper proposes a new meaningful visual image encryption scheme, which consists of three stages: compression (compression network)—encryption (2D‐SLC hyperchaotic map)—hiding (matrix encoding). First, the advantages of deep learning are explored. It can compress the width, height, channel, and pixel values of the plain image simultaneously. Second, a new 2D‐SLC hyperchaotic map is designed to ensure security. It has a larger chaotic space and better randomness. Finally, to obtain a high‐quality cipher image, the secure secret image is hidden in the grey carrier image by matrix encoding. The scheme can compress and encrypt the grey or colour plain image and then hide it in a grey carrier image. In addition, the theoretical peak signal‐to‐noise ratio (PSNR) between the cipher image and the carrier image is improved from 40.9292 to 42.1785 dB. The total running time is only about 0.35, 0.87 and 3.1 s for a 256 × 256, 512 × 512 and 1024 × 1024 grey or colour plain image, respectively.

show abstract

“…While single 1D chaotic maps are low in cost for hardware implementation, they are inefficient in practice, as they have limited control parameters and can converge to a periodic orbit under finite precision implementation [20,21]. To address these issues, studies have proposed using 2D chaotic maps [22] that offer a balance between hardware complexity [23] and the chaotic performance [24].…”

Section: Of 16mentioning

confidence: 99%

Hybrid Chaotic Based PRNG for Secure Cryptography Applications

Alnajim¹,

Abou-Bakr²,

Alruwisan³

et al. 2023

Preprint

View full text Add to dashboard Cite

This paper suggests a novel one-dimensional (1D) map to address the limitations of traditional chaotic 1D maps. The main challenge with traditional chaotic 1D maps is the limited control parameter range and the potential risk of collapsing as a result under the finite precision implementation. To overcome these limitations, the new 1D map hybridises the traditional logistic map with tent map, and a linear tent-like function. This hybridization results in a wider range of control parameters to produce chaotic behavior. The dynamic behavior of the new 1D map has been analyzed using well known numerical methods, including the bifurcation diagram and Lyapunov exponent. Both tests have shown their complex and diverse behavior. In addition, a novel image encryption scheme has been devised using the new function as its pseudo-random-number generator. The proposed encryption algorithm has been tested and found to be robust and secure, passing all statistical tests applied to the encrypted images. The results of this study demonstrate the effectiveness of the new 1D map for use in secure image cryptography applications, providing a more robust and secure alternative to traditional chaotic 1D maps. The proposed algorithm has demonstrated high performance in NPCR and UACI tests. It also has shown good results in the MSE and PSNR tests.

show abstract

A stable meaningful image encryption scheme using the newly-designed 2D discrete fractional-order chaotic map and Bayesian compressive sensing

Cited by 66 publications

References 49 publications

Visual image encryption algorithm based on compressed sensing and 2D cosine -type logistic map

Visual image encryption algorithm based on compressed sensing and 2D cosine -type logistic map

Explore the potential of deep learning and hyperchaotic map in the meaningful visual image encryption scheme

Hybrid Chaotic Based PRNG for Secure Cryptography Applications

Contact Info

Product

Resources

About