随机数发生器与基于图像传感器的量子噪声源的实用积积累.
Youngrak Choi1, Yongjin Yeom2, Ju-Sung Kang2
1Department of Financial Information Security, Kookmin University, Seoul 02707, Republic of Korea.
Entropy (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种更快的方法,用于生成高质量的随机数字,使用比特式XOR运算,提高加密安全性. 新技术为随机数输出的最小提供了理论上的保证.
科学领域:
- 密码学 密码学 密码学 密码学
- 信息理论 信息理论
- 量子技术 量子技术是一种量子技术.
背景情况:
- 高质量的随机数生成对于加密模块至关重要.
- 最小度量化了一个源的随机性质.
- 基于哈希函数的积是常见的,但缓慢.
研究的目的:
- 开发一种更有效的积方法,用于随机数生成.
- 使用新方法为最小提供理论界限.
- 用量子随机数发生器验证方法.
主要方法:
- 使用比特式XOR运算来积累.
- 导出了输出序列的最小的理论极限.
- 将该方法应用于使用暗射噪声的量子随机数发生器.
主要成果:
- 建立了基于XOR的积累的最小的理论界限.
- 证明了XOR操作的效率与传统的哈希函数相比.
- 成功地将理论框架应用于实际的量子随机数发生器.
结论:
- 基于XOR的积积累为随机数生成提供了更快,理论上更合理的替代方案.
- 这种方法提高了安全加密系统的实际可行性.
- 这些发现对量子随机数生成和网络安全有影响.
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