对于物理非克隆功能和生物识别机密系统的安全保证质量和质量
Onur Günlü1, Rafael F Schaefer2, H Vincent Poor3
1Information Coding Division, Linköping University, 581 83 Linköping, Sweden.
Entropy (Basel, Switzerland)
|August 26, 2023
概括
物理非克隆函数 (PUF) 输出可以实现安全的密钥协议,但需要强大的建模. 本研究引入了安全性参数的质量,以确保可靠地从PUF设备中提取秘密密钥,改善安全保证.
科学领域:
- 网络安全和密码学
- 集成电路设计 集成电路设计
- 信息理论 信息理论
背景情况:
- 物理非克隆功能 (PUF) 为安全可靠的秘密密钥生成提供了一个有希望的途径.
- 现有的处理PUF电路输出的方法经常与噪音和高相关性作斗争,危及安全性.
- 当前最先进的模型无法保证所有PUF输出的目标可靠性和保密程度.
研究的目的:
- 为转换PUF电路输出开发现实的模型.
- 引入一种新的安全参数质量,用于控制秘密密钥提取可靠性.
- 证明输出子集消除的必要性,以保证PUF系统的安全性.
主要方法:
- 模拟使用截断分布转换PUF输出.
- 引入安全质量参数来管理安全保证.
- 将有限长度信息理论应用于环振荡器PUF数据集.
主要成果:
- 确定了当前模型在保证PUF输出可靠性和保密性方面的不足.
- 证明通过消除PUF输出的一小部分来实现提取位的安全保证.
- 展示了可靠性和安全性保证在不消除任何PUF输出的情况下是不可能的.
结论:
- 建议的安全性质量参数有效控制了PUF输出达到目标安全水平的百分比.
- 有限长度信息理论为基于PUF的关键协议提供了一个保障安全的框架.
- 整体方法适用于各种PUF类型和生物识别系统,用于低复杂度的秘密密钥提取.
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