An improved image encryption algorithm with finite computing precision

Chen, Chen; Sun, Kehui; He, Shaobo

doi:10.1016/j.sigpro.2019.107340

Cited by 102 publications

(54 citation statements)

References 36 publications

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“…In [34], Liu et al proposed a new two-dimensional Sine ICMIC modulation map (2D-SIMM) and designed a fast image encryption scheme using cyclic shift permutation and pixel-level diffusion. In [35], Chen and Sun applied the DPFMC method to resist the dynamical degradation of the 2D-SCL map and combined the confusion and diffusion processes in one stage to improve the running speed. In [36], Zhu and Sun proposed a new image security scheme using the modified skew tent map to generate keystream correlated with plaintext.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

Sun

Zhu

2021

Security and Communication Networks

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To improve the dynamical behaviors of 1D chaotic maps, a new linear-delay-modulation method (LDM) is proposed. Derived from the Sine map, a delayed Sine map (DSM) is proposed based on the LDM. Then, we substitute the Sine map in the SIMM system with DSM and obtained a delayed SIMM system (DSIMM). Its chaotic performance is analyzed through the phase diagram, Lyapunov exponent spectrum, and complexity. The results show that the delayed chaotic map can generate more complex dynamical behaviors and more random sequences. Hence, we apply the two delayed systems to a novel image encryption algorithm with the permutation-confusion-diffusion architecture. Firstly, to permutate the pixel of the image efficiently, the plain-image is scrambled by using a multilayer of the nonlinear index. Secondly, the image is confused by using the chaotic matrix generated with two chaotic sequences, and then, the ciphertext is transformed into a 1D sequence. Finally, to improve the plaintext sensitivity and facilitate key management, we enhance the sensitivity by applying a novel diffusion algorithm instead of using plaintext-related keystream. The diffusion equation contains the sum of undiffused pixels and the operation of cyclic bit-shift. Simulation results for the gray image illustrate the effectiveness of the proposed encryption algorithm.

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Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

Sun

Zhu

2021

Security and Communication Networks

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“…In addition, various frameworks that can improve the properties of simple chaotic systems have been proposed, including a combination of multiple maps [ 46 , 47 , 48 , 49 ], modifying the chaotic sequences generated by chaotic maps [ 50 , 51 , 52 ], and modifying the existing maps [ 53 , 54 , 55 ]. Most of the frameworks set the existing maps as a whole and incorporate them into the fixed format [ 54 , 56 , 57 , 58 ], thus generating new maps with better performance automatically. The single neuronal dynamical system in self-feedbacked Hopfield network is also applicable to existing frameworks, and it can achieve a positive effect.…”

Section: Introductionmentioning

confidence: 99%

Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption

Chen

2021

Entropy

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Image encryption is a confidential strategy to keep the information in digital images from being leaked. Due to excellent chaotic dynamic behavior, self-feedbacked Hopfield networks have been used to design image ciphers. However, Self-feedbacked Hopfield networks have complex structures, large computational amount and fixed parameters; these properties limit the application of them. In this paper, a single neuronal dynamical system in self-feedbacked Hopfield network is unveiled. The discrete form of single neuronal dynamical system is derived from a self-feedbacked Hopfield network. Chaotic performance evaluation indicates that the system has good complexity, high sensitivity, and a large chaotic parameter range. The system is also incorporated into a framework to improve its chaotic performance. The result shows the system is well adapted to this type of framework, which means that there is a lot of room for improvement in the system. To investigate its applications in image encryption, an image encryption scheme is then designed. Simulation results and security analysis indicate that the proposed scheme is highly resistant to various attacks and competitive with some exiting schemes.

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“…Since Fridrich first proposed the scheme of image encryption based on chaos in 1998 [19], most image encryption methods adopt permutation-diffusion encryption model, which has been proved to have good performance [20,21,22,23,24]. since permutation and diffusion operations are carried out separately and independently, and in order to achieve good diffusion effect, permutation and diffusion operations for the same pixel value are usually performed in multiple rounds, which will undoubtedly increase the complexity of the algorithm and reduce the encryption efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…[22], the diffusion layer and the substitution layer are repeatedly executed three times to improve the security of the algorithm. Chen et al proposed an improved image encryption algorithm based on chaotic mapping [23]. The same pixel performs two encryption operations, namely row encryption and column encryption.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Secure Image Encryption Algorithm Based on Non- Adjacent Coupled Maps

et al. 2020

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In this paper, an image encryption algorithm based on non-adjacent coupled map lattices is designed. Compared with coupled map lattices, non-adjacent coupled map lattices have few periodic windows in bifurcation, and larger parameter range in chaos dynamics. Combined with the proposed chaotic system, a new alternative encryption structure between permutation, diffusion and substitution is proposed to improve the security and encryption efficiency of the algorithm. In the diffusion process, multiplication operation in GF (257) and addition operation in GF (2) based on look-up table are adopted, which improves the encryption efficiency and enhances the permutation effect by choosing pixel value in Latin Square during the diffusion process. Moreover, based on the good cryptographic characteristics of the s-box, a dynamic sbox related to plaintext is constructed to substitute plaintext pixels. Experimental results and security analysis show that the proposed encryption scheme can resist all types of typical attacks and has good encryption effect. INDEX TERMS SHA-256, Non adjacent coupled map lattices, Dynastic s-box, Latin Square, 3D Arnold GF (257), GF (2) This work is licensed under a Creative Commons Attribution 4.

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An improved image encryption algorithm with finite computing precision

Cited by 102 publications

References 36 publications

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

Single Neuronal Dynamical System in Self-Feedbacked Hopfield Networks and Its Application in Image Encryption

An Efficient and Secure Image Encryption Algorithm Based on Non- Adjacent Coupled Maps

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