scholarly journals Design and FPGA Implementation of a Pseudorandom Number Generator Based on a Four-Wing Memristive Hyperchaotic System and Bernoulli Map

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 181884-181898 ◽  
Author(s):  
Fei Yu ◽  
Qiuzhen Wan ◽  
Jie Jin ◽  
Lixiang Li ◽  
Binyong He ◽  
...  
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xi Chen ◽  
Shuai Qian ◽  
Fei Yu ◽  
Zinan Zhang ◽  
Hui Shen ◽  
...  

In this paper, we propose a method to design the pseudorandom number generator (PRNG) using three kinds of four-wing memristive hyperchaotic systems (FWMHSs) with different dimensions as multientropy sources. The principle of this method is to obtain pseudorandom numbers with good randomness by coupling XOR operation on the three kinds of FWMHSs with different dimensions. In order to prove its potential application in secure communication, the security of PRNG based on this scheme is analyzed from the perspective of cryptography. In addition, PRNG has passed the NIST 800.22 and ENT test, which shows that PRNG has good statistical characteristics. Finally, an image encryption algorithm based on PRNG is adopted. In the encryption algorithm, the optimized Arnold matrix scrambling method and the diffusion processing based on XOR are used to obtain the final encrypted image. Through the evaluation of encryption performance, it is concluded that there is no direct relationship between the pristine image and encrypted image. The results show that the proposed image encryption scheme has good statistical output characteristics and security performance in line with cryptography.


VLSI Design ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kaiyu Wang ◽  
Qingxin Yan ◽  
Shihua Yu ◽  
Xianwei Qi ◽  
Yudi Zhou ◽  
...  

This paper presents a new multioutput and high throughput pseudorandom number generator. The scheme is to make the homogenized Logistic chaotic sequence as unified hyperchaotic system parameter. So the unified hyperchaos can transfer in different chaotic systems and the output can be more complex with the changing of homogenized Logistic chaotic output. Through processing the unified hyperchaotic 4-way outputs, the output will be extended to 26 channels. In addition, the generated pseudorandom sequences have all passed NIST SP800-22 standard test and DIEHARD test. The system is designed in Verilog HDL and experimentally verified on a Xilinx Spartan 6 FPGA for a maximum throughput of 16.91 Gbits/s for the native chaotic output and 13.49 Gbits/s for the resulting pseudorandom number generators.


2021 ◽  
Vol 190 ◽  
pp. 370-376
Author(s):  
Mikhail Ivanov ◽  
Iliya Chugunkov ◽  
Bogdana Kliuchnikova ◽  
Evgenii Salikov

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