一个混合哈希框架用于后量子安全的零知识识别
Samarth Bhadane1, Disha Gupta1, Priyanka V Deshmukh2
1Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Pune, India.
Scientific reports
|November 26, 2025
概括
量子计算威胁着当前的安全. 一种新的混合散列方法,结合SHA-512和BLAKE3,增强了对量子攻击的抵抗力,为保护身份验证系统提供了实际的解决方案.
科学领域:
- 密码学和信息安全信息安全
- 量子计算的影响力
- 后量子密码学 后量子密码学
背景情况:
- 量子计算对经典加密方法构成重大威胁,包括基于哈希的身份验证和零知识识别 (ZKI).
- 像格罗弗和肖尔这样的算法可以破坏现有的安全协议,需要开发抗量子解决方案.
研究的目的:
- 建立一个全面的基准测试框架来评估加密哈希函数的量子电阻.
- 引入和验证一种新的混合散列策略,以提高认证系统的后量子弹性.
主要方法:
- 开发了一个基准测试框架,评估性能 (时间,内存),统计属性 (,随机性) 和安全性 (碰撞/预图像阻力).
- 实现并模拟了一个混合散列策略,集成SHA-512和BLAKE3.
- 使用格罗弗的算法模拟来评估与量子搜索算法对比的计算工作负载的验证有效性.
主要成果:
- 经典的哈希函数 (例如,SHA-256,SHA-512) 对量子威胁的安全性降低.
- 拟议的混合散列策略展示了实用的风险减轻与可接受的计算开销.
- 该框架有效地评估了与经典哈希相比,量子算法的工作量增加.
结论:
- 混合散列方法为保护身份验证系统免受量子对手的威胁提供了一条可行的途径.
- 开发的框架有助于对量子抗性解决方案的系统评估和实际实施.
- 该研究提供了一种方法来评估和增强量子时代的加密弹性.
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