混沌和量子源在物联网设备中的随机数生成的适用性和设计考虑
Wieslaw Marszalek1, Michał Melosik2, Mariusz Naumowicz2
1Department of Computer Science, Opole University of Technology, PL-45-758 Opole, Poland.
Entropy (Basel, Switzerland)
|July 29, 2025
概括
本研究使用物流图与量子随机数生成器 (QRNG) 进行了混沌的伪随机数生成器 (PRNG) 的比较. 这些发现指导物联网解决方案开发人员选择最适合加密需求的随机数生成器.
科学领域:
- 计算机科学 计算机科学
- 信息理论 信息理论
- 密码学 密码学 密码学 密码学
背景情况:
- 随机数生成器对于物联网中的安全加密过程至关重要.
- 存在两种主要方法:基于确定性混乱系统的伪随机数生成器 (PRNG) 和利用量子现象的真随机数生成器 (TRNG).
- 选择合适的发电机对物联网解决方案的安全性和效率产生影响.
研究的目的:
- 为了比较分析基于物流地图的PRNG和商业量子随机数发生器 (QRNG) 的性能.
- 为各种物联网应用基于其特定要求选择最佳随机数生成器提供指导.
- 为了评估两个发电机类型生成的序列的随机性和.
主要方法:
- 对于物流地图PRNG的混沌动态的理论分析.
- 对QRNG光子检测原理的理论综述.
- 为物流地图PRNG开发硬件IP核心,可在ASIC或FPGA上实现.
- 使用"ent"工具和NIST测试套件对两个发电机输出进行随机性评估.
主要成果:
- 后勤地图PRNG作为硬件IP核心实现.
- 后勤地图PRNG和QRNG都经过了严格的随机性测试.
- 进行了对水平和统计随机性属性的比较分析.
结论:
- 该研究为物联网应用程序的混乱PRNG和QRNG之间进行选择提供了一个框架.
- 选择取决于诸如要求的随机性质量,数据量和特定应用程序的约束等因素.
- 这两种发电机类型都为物联网中的不同加密需求提供了明显的优势.
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