Image encryption using 2D Logistic-adjusted-Sine map

Hua, Zhongyun; Zhou, Yicong

doi:10.1016/j.ins.2016.01.017

Cited by 633 publications

(283 citation statements)

References 46 publications

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“…Compared to the 2D-SIMM, 2D-SLMM, the parameter-varying Baker map (PVBM) [13] and the 2D Logistic-adjusted-Sine map (2D-LASM) [14], the structure of DLCL is relatively simple and significantly improves the speed of iteration. Figure 1 shows the trajectories of DLCL, 2D-SLMM, 2D-SIMM, PVBM and 2D-LASM.…”

Section: Dlcl Modelmentioning

confidence: 99%

“…In addition, Liu et al [7] also proposed a system based on two-dimensional sine and an iterative chaotic map with infinite collapse modulation map (2D-SIMM). They all have relatively complex maps in encryption algorithms [13,14]. Their performance evaluation of maps is not ideal, including the fact that the phase diagram and Lyapunov exponent spectrum, complex performance analysis and the implementation of their hardware are relatively complicated.…”

Section: Introductionmentioning

confidence: 99%

“…The diffusion effect and a good encryption effect are achieved, and the encryption efficiency of the algorithm is improved. In Section 2, we introduced DLCL and analyzed its performance by comparing it with chaotic maps in some other algorithms [7,8,13,14]. We proposed a color image encryption algorithm based on DLCL in Section 3, and we analyzed some of the performance of image encryption algorithms in Section 4.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption

Ding

Yin

et al. 2018

Entropy

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Abstract:With the popularity of the Internet, the transmission of images has become more frequent. It is of great significance to study efficient and secure image encryption algorithms. Based on traditional Logistic maps and consideration of delay, we propose a new one-dimensional (1D) delay and linearly coupled Logistic chaotic map (DLCL) in this paper. Time delay is a common phenomenon in various complex systems in nature, and it will greatly change the dynamic characteristics of the system. The map is analyzed in terms of trajectory, Lyapunov exponent (LE) and Permutation entropy (PE). The results show that this map has wide chaotic range, better ergodicity and larger maximum LE in comparison with some existing chaotic maps. A new method of color image encryption is put forward based on DLCL. In proposed encryption algorithm, after various analysis, it has good encryption performance, and the key used for scrambling is related to the original image. It is illustrated by simulation results that the ciphered images have good pseudo randomness through our method. The proposed encryption algorithm has large key space and can effectively resist differential attack and chosen plaintext attack.

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Section: Dlcl Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption

Ding

Yin

et al. 2018

Entropy

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show abstract

“…o Image encryption using 2D logistic-adjusted-sine map: H u a and Z h o u [25] introduced a new chaotic map which has wider chaotic range than many existing chaotic maps and presented a new image encryption scheme based on newly proposed chaotic map. Initially it proposes a new chaotic map called Two Dimensional Logistic-Adjusted-Sine Map (2D-LASM).…”

Section: Symmetric Key Cryptographymentioning

confidence: 99%

A Survey on Key(s) and Keyless Image Encryption Techniques

S¹,

Fathimath²,

Aithal

et al. 2017

Cybernetics and Information Technologies

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As in recent years digital data transmission and image application have been increasing, maintaining secure transmission of image is of high importance. Image Encryption is implemented to achieve security on image applications. This paper exhibits a survey on various existing image encryption techniques. The paper mainly focuses on two types: Image encryption with Key(s) and Image Encryption without Key(s). In addition it also describes several properties of a good image encryption technique. The paper presents a survey of most popular algorithms and research papers that are related with different image encryption techniques.

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“…The other group of chaotic maps contains a high-dimensional chaotic map with a rather complex structure and a better chaotic performance such as Arnold map, Henon Map, Lorenz system etc. Many authors suggested various combinations of 1D-chaotic maps (Logistic map, Tent map, Sine map) to achieve an improved performance of the proposed cryptosystem [9][10][11]. Although high-dimensional chaotic map based cryptosystem might be vulnerable to the security attacks [12,13].…”

Section: Introductionmentioning

confidence: 99%

Secure Image Transmission Using Fractal and 2D-Chaotic Map

Agarwal¹

2018

J. Imaging

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A chaos-based cryptosystem has been suggested and investigated since last decade because of its sensitivity to the initial condition, unpredictability and ergodicity properties. The paper introduces a new chaotic map which helps to enhance the security of image transmission by blending the superior fractal function with a new 2D-Sine Tent composite map (2D-STCM) to generate a key stream. A trajectory map of a proposed 2D-STCM show a wider chaotic range implies better unpredictability and ergodicity feature, suitable to design a cryptosystem. A fractal based image encryption increases the key space of the security key up-to hundreds of bits, thus secure the proposed cryptosystem from brute-force attack. The requirement of confusion and diffusion are fulfilled by applying chaotic circular pixel shuffling (CCPS) to change the pixel position repeatedly and the execution of an improved XOR operation i.e., complex XOR, designed to increase the encryption quality. The proposed cryptosystem has been analyzed using statistical analysis, key sensitivity, differential analysis and key space analysis. The experimental result proves that the new scheme has a high security level to protect the image transmission over the network.

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Image encryption using 2D Logistic-adjusted-Sine map

Cited by 633 publications

References 46 publications

A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption

A Novel Delay Linear Coupling Logistics Map Model for Color Image Encryption

A Survey on Key(s) and Keyless Image Encryption Techniques

Secure Image Transmission Using Fractal and 2D-Chaotic Map

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