Nguemo Kemdoum Fritz, Mboupda Pone Justin Roger, Bajaj Mohit, Dzonde Naoussi Serge Raoul, Ayemtsa Kuete Gideon Pagnol, Louzazni Mohamed, Berhanu Tuka Milkias, Kamel Salah
Technology and Applied Sciences Laboratory (TASL), University Institute of Technology of Douala (IUT of Douala), University of Douala, Post Box 8698, Douala, Cameroon.
Research Unit of Automation and Applied Computer (RU-AIA), Electrical Engineering Department of UIT-FV, University of Dschang, Post Box 134, Bandjoun, Cameroon.
Sci Rep. 2024 Sep 11;14(1):21262. doi: 10.1038/s41598-024-71531-y.
This paper introduces an enhancement to the Chen chaotic system by incorporating a constant perturbation term to one of the state variables, aiming to improve the performance of pseudo-random number generators (PRNGs). The perturbation significantly enhances the system's chaotic properties, resulting in superior randomness and increased security. An FPGA-based realization of a perturbed Chen oscillator (PCO)-derived PRNG is presented, tailored for embedded cryptosystems and implemented on a Nexys 4 FPGA card featuring the XILINX Artix-7 XC7A100T-1CSG324C integrated chip. The Xilinx-based system generator (XSG) tool is utilized to generate a digital version of the new oscillator, minimizing resource utilization. Experimental results demonstrate that the PCO-generated data successfully passes the NIST and TestU01 test suites. Additionally, statistical tests with key sensitivity are performed, validating the suitability of the designed PRNG for cryptographic applications. This establishes the PCO as a straightforward and efficient tool for multimedia security.
本文介绍了一种对陈氏混沌系统的改进方法，即对其中一个状态变量引入一个常数扰动项，旨在提高伪随机数发生器（PRNG）的性能。该扰动显著增强了系统的混沌特性，从而产生了卓越的随机性并提高了安全性。本文提出了一种基于现场可编程门阵列（FPGA）实现的、由受扰陈氏振荡器（PCO）派生的PRNG，它是为嵌入式密码系统量身定制的，并在配备XILINX Artix-7 XC7A100T-1CSG324C集成芯片的Nexys 4 FPGA卡上实现。利用基于Xilinx的系统生成器（XSG）工具生成新振荡器的数字版本，以最大限度地减少资源利用。实验结果表明，由PCO生成的数据成功通过了美国国家标准与技术研究院（NIST）和TestU01测试套件。此外，还进行了具有密钥敏感性的统计测试，验证了所设计的PRNG在密码学应用中的适用性。这确立了PCO作为一种用于多媒体安全的简单高效工具的地位。
