Generation of grid multi-wing chaotic attractors and its application in video secure communication system

Li, Ying; Li, Zhijun; Ma, Minglin; Wang, Mengjiao

doi:10.1007/s11042-020-09448-7

Cited by 37 publications

(18 citation statements)

References 41 publications

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“…Many papers have been published on chaos generation to data [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]; hyperchaos is better for image encryption and security than chaos because of its high dynamic complexity. e concept of hyperchaos was first proposed by Rossler in 1979 to describe the characteristics of chaotic systems with two or more positive Lyapunov exponents [19].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hyperchaotic Image Encryption System Based on Particle Swarm Optimization Algorithm and Cellular Automata

Zeng

Wang

2021

Security and Communication Networks

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In this paper, we propose a hyperchaotic image encryption system based on particle swarm optimization algorithm (PSO) and cellular automata (CA). Firstly, to improve the ability to resist plaintext attacks, the initial conditions of the hyperchaotic system are generated by the hash function value which is closely related to the plaintext image to be encrypted. In addition, the fitness of PSO is the correlation coefficient between adjacent pixels of the image. Moreover, On the basis of hyperchaotic system, cellular automata technology is adopted, which can enhance the randomness of population distribution and increase the complexity and diversity of the population so that the security of the encryption system can be improved and avoid falling into local optimum. The simulation results and security analysis of the proposed encryption system demonstrate that the hyperchaotic image encryption system has high resistance against plaintext attack and statistical attack.

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Section: Introductionmentioning

confidence: 99%

A Novel Hyperchaotic Image Encryption System Based on Particle Swarm Optimization Algorithm and Cellular Automata

Zeng

Wang

2021

Security and Communication Networks

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“…In recent years, various constructions of chaotic systems have been proposed [13][14][15][16][17][18]. So far, chaotic systems have been widely used in various fields that already exist, such as synchronization [19][20][21], secure communication [22,23], neural network chaotic systems [24][25][26][27][28][29][30][31][32], and PRNGs [33][34][35][36][37][38]. Among them, PRNGs based on chaotic systems are the most fundamental applications of chaotic systems.…”

Section: Introductionmentioning

confidence: 99%

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Zhang

Shen

et al. 2021

Front. Phys.

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When implementing a pseudo-random number generator (PRNG) for neural network chaos-based systems on FPGAs, chaotic degradation caused by numerical accuracy constraints can have a dramatic impact on the performance of the PRNG. To suppress this degradation, a PRNG with a feedback controller based on a Hopfield neural network chaotic oscillator is proposed, in which a neuron is exposed to electromagnetic radiation. We choose the magnetic flux across the cell membrane of the neuron as a feedback condition of the feedback controller to disturb other neurons, thus avoiding periodicity. The proposed PRNG is modeled and simulated on Vivado 2018.3 software and implemented and synthesized by the FPGA device ZYNQ-XC7Z020 on Xilinx using Verilog HDL code. As the basic entropy source, the Hopfield neural network with one neuron exposed to electromagnetic radiation has been implemented on the FPGA using the high precision 32-bit Runge Kutta fourth-order method (RK4) algorithm from the IEEE 754-1985 floating point standard. The post-processing module consists of 32 registers and 15 XOR comparators. The binary data generated by the scheme was tested and analyzed using the NIST 800.22 statistical test suite. The results show that it has high security and randomness. Finally, an image encryption and decryption system based on PRNG is designed and implemented on FPGA. The feasibility of the system is proved by simulation and security analysis.

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“…How to construct a good PRNG and generate high-performance and high-quality PRNs has always been a hot topic for scholars. Chaos is widely used in complex networks [13][14][15][16], electronic circuits [17][18][19][20], image encryption [21][22][23][24][25], synchronous control [26][27][28], encryption system [29][30][31][32], and other fields because of its good random characteristics, extreme sensitivity to initial values and parameters, longterm unpredictability, and ergodicity of orbits. e PRNs based on the chaos system have the advantages of fast generation speed, high security performance, and good statistical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Chaos‐Based Engineering Applications with a 6D Memristive Multistable Hyperchaotic System and a 2D SF‐SIMM Hyperchaotic Map

Qian

Chen

et al. 2021

Complexity

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In recent years, the research of chaos theory has developed from simple cognition and analysis to practical engineering application. In particular, hyperchaotic systems with more complex and changeable chaotic characteristics are more sensitive and unpredictable, so they are widely used in more fields. In this paper, two important engineering applications based on hyperchaos pseudorandom number generator (PRNG) and image encryption are studied. Firstly, the coupling 6D memristive hyperchaotic system and a 2D SF-SIMM discrete hyperchaotic mapping are used as the double entropy source structure. The double entropy source structure can realize a new PRNG that meets the security requirements, which can pass the NIST statistical test when the XOR postprocessing method is used. Secondly, based on the double entropy source structure, a new image encryption algorithm is proposed. The algorithm uses the diffusion-scrambling-diffusion encryption scheme to realize the conversion from the original plaintext image to the ciphertext image. Finally, we analyze the security of the proposed PRNG and image encryption mechanism, respectively. The results show that the proposed PRNG has good statistical output characteristics and the proposed image encryption scheme has high security, so they can be effectively applied in the field of information security and encryption system.

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Generation of grid multi-wing chaotic attractors and its application in video secure communication system

Cited by 37 publications

References 41 publications

A Novel Hyperchaotic Image Encryption System Based on Particle Swarm Optimization Algorithm and Cellular Automata

A Novel Hyperchaotic Image Encryption System Based on Particle Swarm Optimization Algorithm and Cellular Automata

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Chaos‐Based Engineering Applications with a 6D Memristive Multistable Hyperchaotic System and a 2D SF‐SIMM Hyperchaotic Map

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