基于耦合异或网格拓扑的超高效率TRNG IP

IF 5.2 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yingchun Lu;Enpu Xu;Yujie Liu;Jinlin Chen;Huaguo Liang;Zhengfeng Huang;Liang Yao
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引用次数: 0

摘要

真随机数生成器能够生成完全随机和不可预测的序列,在密码学、加密通信、随机算法等各个领域发挥着至关重要的作用。为满足现代高速系统对高吞吐量真随机数发生器的需求,提出了一种轻量级TRNG设计方案。它利用耦合异或的网状拓扑作为熵源,通过网络中的耦合振荡器产生高度紧凑、高吞吐量的真随机数发生器。生成的随机序列已成功通过NIST SP 800-22、TESTU01、NIST SP 800-90B和AIS-31测试。在Xilinx Artix-7和Kintex-7系列开发板上分别实现了2.1Gbps和2.4Gbps的超高吞吐量,实现了硬件资源的高效利用。与其他作品相比,本设计在资源利用率和吞吐量方面具有明显的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultra-High Efficiency TRNG IP Based on Mesh Topology of Coupled-XOR
The true random number generator is capable of generating completely random and unpredictable sequences, and plays a crucial role in various fields such as cryptography, encryption communication, and random algorithms. To meet the demand for high-throughput true random number generators in modern high-speed systems, a lightweight TRNG design is proposed. It utilizes a mesh topology of coupled-XOR as entropy source and generates a highly compact and high throughput true random number generator by coupling oscillators in the network. The generated random sequences have successfully passed the NIST SP 800-22, TESTU01, NIST SP 800-90B, and AIS-31 tests. It achieved ultra-high throughput of 2.1Gbps and 2.4Gbps on the Xilinx Artix-7 and Kintex-7 series development boards, respectively, achieving efficient utilization of hardware resources. Compared with other works, this design has significant advantages in terms of resource utilization and throughput.
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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
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