A novel lossless color image encryption scheme using 2D DWT and 6D hyperchaotic system

Wu, Xiangjun; Wang, Dawei; Kurths, Jürgen; Kan, Haibin

doi:10.1016/j.ins.2016.02.041

Cited by 202 publications

(95 citation statements)

References 66 publications

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“…This can be seen more clearly by comparing it with the algorithms proposed by Wang [27], Murillo-Escobar [28] and Tong [31], all in 2015 and by Wu [36] and Tong [37], both in 2016. To our knowledge, few algorithms proposed recently handle the correlation between different colors.…”

Section: Experimental Results and Cryptanalysismentioning

confidence: 81%

A Fast Color Image Encryption Algorithm Using 4-Pixel Feistel Structure

Wang

Zhang

et al. 2016

PLoS ONE

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Algorithms using 4-pixel Feistel structure and chaotic systems have been shown to resolve security problems caused by large data capacity and high correlation among pixels for color image encryption. In this paper, a fast color image encryption algorithm based on the modified 4-pixel Feistel structure and multiple chaotic maps is proposed to improve the efficiency of this type of algorithm. Two methods are used. First, a simple round function based on a piecewise linear function and tent map are used to reduce computational cost during each iteration. Second, the 4-pixel Feistel structure reduces round number by changing twist direction securely to help the algorithm proceed efficiently. While a large number of simulation experiments prove its security performance, additional special analysis and a corresponding speed simulation show that these two methods increase the speed of the proposed algorithm (0.15s for a 256*256 color image) to twice that of an algorithm with a similar structure (0.37s for the same size image). Additionally, the method is also faster than other recently proposed algorithms.

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Section: Experimental Results and Cryptanalysismentioning

confidence: 81%

A Fast Color Image Encryption Algorithm Using 4-Pixel Feistel Structure

Wang

Zhang

et al. 2016

PLoS ONE

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“…Considering the features and the performance of the chaotic algorithms, Britain mathematician Matthes [24] firstly introduced chaotic theory for image encryption. After that, lots of image encryption methods based on chaos have been presented [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Modified integral imaging reconstruction and encryption using an improved SR reconstruction algorithm

Wang

et al. 2019

Optics and Lasers in Engineering

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We propose a monospectral image encryption method in which the multispectral color image acquisition by using heterogeneous monospectral cameras. Because the captured monospectral elemental images (EIs) belongs to grayscale image, it is means that the captured EIs can be directly encrypted by the proposed encoding method. Subsequently, the linear cellular automata (CA) and hyperchaotic encoding algorithm are employed to encrypt the captured EIs. Different from previous methods, the proposed method can directly encrypt the multispectral color information rather than having to divide into three color channels (R, G and B), thereby, the proposed method can greatly reduce the encryption calculation. MonospectralEIs encrypted by linear CA and hyper-chaotic system 2.2.1. M-sequence generated by linear CA CA can offer significant benefit over existing algorithms [33,34]. In a one-dimensional (1D), two-state, three-site neighbourhood CA, where the next state of a cell is updated according to its neighborhood, the value of each cell is 0 or 1. The value of each cells can be generated by a specified rule. The value of next state is calculated by the Boolean function with three parameters.where s i (t + 1) denotes the value of cell i at time t + 1, s i (t) denotes the value of the cell i at time t, y i−1 (t) is the the left neighboring cell value at time t, s i+1 (t) is the right neighboring cell value at time t, and F () represents the Boolean function defining a specified rule. According his theory of Wolfram, for the 2-state, 3-site CA, it has 2 8 rules. The Wolfram rules are defined from 0 to 255. Among the rules, eight Wolfram rules are linear. They are 0, 60, 90, 102, 150, 170, 204, and 240, respectively. The eight Wolfram linear rules are represented as follows:Rule 0 : s i (t + 1) = 0, Rule 60 : s i (t + 1) = s i−1 (t) ⊕ s i (t), Rule 90 : s i (t + 1) = s i−1 (t) ⊕ s i+1 (t), Rule 102 : s i (t + 1) = s i (t) ⊕ s i+1 (t), Rule 150 : s i (t + 1) = s i−1 (t) ⊕ s i (t) ⊕ s i+1 (t), Rule 170 : s i (t + 1) = s i−1 (t), Rule 204 : s i (t + 1) = s i (t), Rule 240 : s i (t + 1) = s t−1 (t).

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“…During the communication in the networks encrypting the images are very crucial through the rapid development of telemedicine large medical image data can be easily transmitted, thus the encryption has become a significant for patient data [3].The most classical cryptographic techniques can be classified into private and public encryption [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

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Abstract:In this paper, we have proposed a chaos-based visual encryption method that can be applied to Ultra Sound Medical Images. We used adaptive Grey Wolf Optimization (GWO) to archive Ultra Sound Medical Image encryption. The robustness of the proposed image encryption are measured by various security attacks such as key sensitivity, histogram analysis, adjacent pixel autocorrelation, chi-square test, etc. Moreover, analytical outcomes are compared with the conventional algorithms like Genetic Algorithm (GA) and GWO. The experimental result shows that the proposed method is faster with low complexity.

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A novel lossless color image encryption scheme using 2D DWT and 6D hyperchaotic system

Cited by 202 publications

References 66 publications

A Fast Color Image Encryption Algorithm Using 4-Pixel Feistel Structure

A Fast Color Image Encryption Algorithm Using 4-Pixel Feistel Structure

Modified integral imaging reconstruction and encryption using an improved SR reconstruction algorithm

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

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