A new image encryption scheme based on hybrid chaotic maps

Kari, Ahmad Pourjabbar; Navin, Ahmad Habibizad; Bidgoli, Amir Massoud; Mirnia, Mir Kamal

doi:10.1007/s11042-020-09648-1

Cited by 74 publications

(27 citation statements)

References 52 publications

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“…To prove the effectiveness of the proposed method, and to prove why we used Table 2 for different correlation coefficients, Lyapunov's exponent (LE) analysis is employed. Maps with a larger positive Lyapunov exponent have a larger chaotic range [14,31,32]. Here we prove the efficiency of the proposed method for ST (combined of Sine and Tent maps), and there is a similar proof for other combined maps.…”

Section: Theoretical Analysissupporting

confidence: 68%

“…Logistic map is a one-dimensional and discrete chaotic map. This map is one of the simplest chaotic maps, and is mathematically defined as follows [14]:…”

Section: Logistic Mapmentioning

confidence: 99%

“…Sine map is one of the most widely used one-dimensional chaotic maps [14], that can produce complex chaotic sequences with a range of [0, 1]. The definition of Sine map is:…”

Section: Sine Mapmentioning

confidence: 99%

“…Where is the control parameter and according to the bifurcation diagram [14], ϵ [0.87, 1] and 0 is the initial value for .…”

Section: Sine Mapmentioning

confidence: 99%

“…In this method, low-frequency sub-bands of the four grayscale images are extracted with the contourlet transform, and the phase truncation and the bitwise XOR operation, as nonlinear processes, improve the robustness of the presented multi-image encryption scheme against chosen-plaintext attack. A new image encryption scheme based on hybrid chaotic maps was proposed in [14]. In the proposed method, the confusion phase is based on Arnold's two-dimensional map and the diffusion operation is performed using hybrid chaotic maps.…”

Section: Introductionmentioning

confidence: 99%

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A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

et al. 2021

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This paper introduces a new multi-image cryptosystem based on modified Henon map and nonlinear combination of chaotic seed maps. Based on the degree of correlation between the adjacent pixels of the plain image, a unique weight is assigned to the plain image. First, the coordinates of plain images are disrupted by modified Henon map as confusion phase. In the first step of diffusion phase, the pixels content of images are changed separately by XOR operation between confused images and matrices with suitable nonlinear combination of seed maps sequences. These combination of seed maps are selected depending on the weight of plain images as well as bifurcation properties of mentioned chaotic maps. After concatenating the matrices obtained from the first step of diffusion phase, the bitwise XOR operation is applied between newly developed matrix and the other produced matrix from the chaotic sequences of the Logistic-Tent-Sine hybrid system, as second step of diffusion phase. The encrypted image is obtained after applying shift and exchange operations. The results of the implementation using graphs and histograms show that the proposed scheme, compared to some existing methods, can effectively resist common attacks and can be used as a secure method for encrypting digital images.

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Section: Theoretical Analysissupporting

confidence: 68%

“…Logistic map is a one-dimensional and discrete chaotic map. This map is one of the simplest chaotic maps, and is mathematically defined as follows [14]:…”

Section: Logistic Mapmentioning

confidence: 99%

“…Sine map is one of the most widely used one-dimensional chaotic maps [14], that can produce complex chaotic sequences with a range of [0, 1]. The definition of Sine map is:…”

Section: Sine Mapmentioning

confidence: 99%

“…Where is the control parameter and according to the bifurcation diagram [14], ϵ [0.87, 1] and 0 is the initial value for .…”

Section: Sine Mapmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

et al. 2021

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An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

Sekar

Ezhumalai

Chokkalingam

2022

Concurrency and Computation

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At the pixel level, several chaos-based image encryption and decryption models have been developed throughout the years. However, due to long-haul, privacy, and security considerations, it has a number of drawbacks, including increased network complexity and low scalability, and actual text cracking avoidance is more challenging. In this study, we have proposed a novel approach for image encryption and decryption. The confusion and diffusion process is performed using fractional-order chaotic maps with the hybrid radiation heat transfer algorithm based sunflower optimization (HRHT-SO) algorithm. The proposed method works for both color and grayscale images. The HRHT-SO algorithm is the combination of both heat transfer search (HTS) and sunflower optimization (SO) algorithms. During the search process, the SO algorithm improves the radiation stage of the HTS model. Further, the DNA sequence improves the performance of image encryption and decryption using fractional-order chaotic maps with the HRHT-SO algorithm. The experimental investigations are carried out by using various parameters such as key sensitivity analysis, keyspace analysis, histogram analysis, correlation coefficient analysis, entropy analysis, PSNR, NPCR, and UACI analysis thereby analyzing the efficiency and complexity of the encryption scheme.Hence, the proposed method outperforms superior performances in all the experiments. K E Y W O R D Sconfusion and diffusion process, DNA sequence, hybrid radiation heat transfer algorithm based sunflower optimization algorithm, image encryption and decryption INTRODUCTIONThe rapid expansion of computer networks frequently leads to cases of information leakage as a result of infinite storage and network transmission activities. In multimedia communication, the major concern is secured digital image transmission and storage. 1 The communication network transports multimedia information and must be protected against unauthorized access. The diffusion and confusion techniques ensure data protection in cryptography. Image security is provided by using image encryption, which is one of the most important cryptography schemes. 2When utilizing a cryptosystem to encrypt an image, numerous image attributes are taken into account, including strong adjacent pixel correlation, increased redundancy, and larger size. For these reasons, conventional asymmetric and symmetric methods for image encryption (IE) are ineffective.

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Key Sequences based on Cyclic Elliptic Curves over GF(2⁸) with Logistic Map for Cryptographic Applications

Siddaramanna¹,

Venkatramanayya²

2022

Concurrency and Computation

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The chaotic functions and cyclic elliptic curves (CEC) has attracted many researchers, especially cryptographers, since decades. As CEC and chaotic functions meet the requirements of the cryptography, they are widely used either in key sequence generation or encryption/decryption process. Since in symmetric key encryption, stream ciphers need a large key sequence to encrypt/decrypt the information, authors propose a hybrid model to generate pseudo random sequence using CEC and logistic map. The hybrid model is developed using CEC points over GF(2 8 ) and an one-dimensional logistic map. In the proposed system, binary chaotic sequence and CEC points are given to AES S-box to get two random sequences separately. Byte wise parity is computed for both the sequences. Based on the parity of both the bytes, one of the byte is left shifted and the other is right shifted by two positions in a circular manner. Later, both the bytes are combined using the XOR operation to get the random binary sequence. The generated sequences are analysed for randomness using various test suites like NIST, Correlation, FIPS, and TestU01. It has been observed that all the sequences pass the randomness tests. Using additive stream cipher, image encryption is implemented by considering the generated sequence as key sequence. The performance evaluation and security analysis of the encryption process is conducted. The results obtained for the proposed system indicate that the system is robust to withstand many cryptanalytic attacks.

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A new image encryption scheme based on hybrid chaotic maps

Cited by 74 publications

References 52 publications

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

Key Sequences based on Cyclic Elliptic Curves over GF(2⁸) with Logistic Map for Cryptographic Applications

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A new image encryption scheme based on hybrid chaotic maps

Cited by 74 publications

References 52 publications

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission

Key Sequences based on Cyclic Elliptic Curves over GF(28) with Logistic Map for Cryptographic Applications

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Key Sequences based on Cyclic Elliptic Curves over GF(2⁸) with Logistic Map for Cryptographic Applications