A novel satellite image encryption algorithm based on hyperchaotic systems and Josephus problem

Naim, M.; Pacha, Adda Ali; Serief, Chahira

doi:10.1016/j.asr.2021.01.018

Cited by 49 publications

(22 citation statements)

References 37 publications

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“…There are many chaotic systems used in image encryption, such as Arnold [5,7], logistic map [12][13][14][15], hyperchaotic [16,17], and others. In many studies of encryption literature on digital images, the use of chaos systems is widely combined with various other encryption methods to improve message security.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption using Double Layer Chaos with Dynamic Iteration and Rotation Pattern

2022

IJIES

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This research proposes an encryption method for images based on dual chaos systems and dual hash functions. SHA-256 and SHA-512 are hash functions chosen to process plain images and private keys. The purpose of using hash functions on plain and key images is to increase encryption resistance against differential attacks and perform local encryption in each image zone. The proposed method consists of two stages of encryption, the first involves dual hash functions and confusion with a chaotic system by performing encryption based on zoning and rotation of the image. The second stage is a diffuse process using a logistic map. The proposed method is proven to be strong against various attacks that have been tested with various measuring tools such as entropy, histogram analysis, chi-square, number of changing pixel rate (NPCR), unified averaged changed intensity (UACI), and the avalanche effect (AE). This method also proved to work better than the state-of-the-art method in this research, significantly based on entropy, UACI, and NPCR.

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Section: Introductionmentioning

confidence: 99%

Image Encryption using Double Layer Chaos with Dynamic Iteration and Rotation Pattern

2022

IJIES

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“…Therefore, effective methods are needed to protect image information. In the process of transmission, the direct method to protect the image is image encryption [8,9], which encrypts the image into meaningless noise-like information. After receiving the image information, only a legal key can be used to obtain the correct decrypted image.…”

Section: Introductionmentioning

confidence: 99%

“…However, some existing chaotic-based encryption algorithms have some shortcomings. Such as, the key design is simple [19,20], cannot resist some plaintext attacks [21][22][23] and requires a large number of pseudorandom numbers [9,23,26]. These methods may lead to inefficient encryption processes and lower security levels.…”

Section: Introductionmentioning

confidence: 99%

A Secure Image Encryption Scheme based on Fully-Connected-Like Neural Network and Edge Pixel Reset

Sheng¹,

Li²,

Di³

et al. 2021

Preprint

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When digital images are transmitted and stored in the currently open network environment, they often face various risks. A secure image encryption based on Fully-Connected-Like Neural Network (FCLNN) and edge pixel reset is proposed. Firstly, using random noise to reset the image last-bit of the edge pixels to generate different keys for each encryption. Secondly, the image rows and columns are transformed by Cyclic Shift Transformation (CST), and the moving step is determined according to the chaotic sequence. Then, the image is diffused at the bit-level by using FCLNN. Finally, forward and reverse diffusions are performed on the image to generate the cipher image. In addition, the result of convolution operation between plain image and chaotic sequence is introduced to set the initial value of the chaotic system to establish the correlation between plain image and algorithm, which makes the algorithm resistant to known/chosen plaintext attack. The simulation results show that the proposed algorithm has negligible loss, and the decrypted image is visually identical to the original image. At the same time, the algorithm has a large key space, can resist common attacks such as statistical attacks, differential attacks, noise attacks, and data loss attacks, and has high security.

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“…In the last few years, several algorithms have been used LFSR to generate pseudo random sequences such as [8]- [11]. Lv et Tong [8] Proposed a novel method of chaotic image encryption based on LFSR.…”

Section: Introductionmentioning

confidence: 99%

“…The polynomial of the LFSR in this algorithm has degree of 5. Naim et al [11] proposed a novel satellite image encryption algorithm based on hyperchaotic systems and Josephus problem. The LFSR in this algorithm is used to generate a matrix which used to generate 512 bits of the hash function.…”

Section: Introductionmentioning

confidence: 99%

Cohabitation of Fibonacci and Galois Modes in One Linear Feedback Shift Register

Brahim

Pacha

Said

et al. 2021

Journal of Engineering Technology and Applied Sciences

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A linear feedback shift register (LFSR) is the basic element of the pseudo-random generators used to generate a sequence of pseudo-random values for a stream cipher. It consists of several cells; each cell is a flip-flop and a feedback function. The feedback function is a linear polynomial function; this function has a degree equal to the number of cells in the register. The basic elements of the register are connected to each other in two different ways, either in Fibonacci mode or in Galois mode.In this work, we propose the realization of a specific register which is cohabitation of these two modes (Fibonacci and Galois) in the same register and for the same feedback function, and which will be controlled by a random function for the selection of mode, which will be based on the chaotic logistics map. This specific register gave better results compared to registers with separate modes.

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A novel satellite image encryption algorithm based on hyperchaotic systems and Josephus problem

Cited by 49 publications

References 37 publications

Image Encryption using Double Layer Chaos with Dynamic Iteration and Rotation Pattern

Image Encryption using Double Layer Chaos with Dynamic Iteration and Rotation Pattern

A Secure Image Encryption Scheme based on Fully-Connected-Like Neural Network and Edge Pixel Reset

Cohabitation of Fibonacci and Galois Modes in One Linear Feedback Shift Register

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