Laser-engraved holograms as entropy source for random number generators

IF 2.8 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC Micro and Nano Engineering Pub Date : 2024-11-04 DOI:10.1016/j.mne.2024.100290
Christos Tselios , Anastasios Tsakas , Simone Mazzucato , Christina Politi (Tanya) , Panagiotis Rizomiliotis , Dimitris Alexandropoulos
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Abstract

Our study introduces a novel approach to true random number generation (TRNG) using speckle patterns generated by laser-engraved holograms on carbon fiber-reinforced polymer (CFRP) composite substrates. Unlike previous methods, our approach simplifies the process by generating the necessary image dataset from a single microscope image of the engraved hologram. We achieve a high extraction ratio of 76 %, demonstrating the effectiveness of our TRNG. Moreover, our method successfully passes rigorous statistical tests proposed by the National Institute of Standards and Technology (NIST), indicating its suitability for cryptographic and secure system applications. This work offers promising implications for enhancing security in various domains, from secure communication networks to IoT devices.

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激光雕刻全息图作为随机数生成器的熵源
我们的研究介绍了一种利用激光在碳纤维增强聚合物(CFRP)复合基材上雕刻全息图所产生的斑点图案进行真随机数生成(TRNG)的新方法。与以往的方法不同,我们的方法通过从雕刻全息图的单个显微镜图像生成必要的图像数据集来简化过程。我们的提取率高达 76%,证明了 TRNG 的有效性。此外,我们的方法还成功通过了美国国家标准与技术研究院(NIST)提出的严格统计测试,表明它适用于加密和安全系统应用。这项工作为增强从安全通信网络到物联网设备等各个领域的安全性提供了广阔的前景。
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来源期刊
Micro and Nano Engineering
Micro and Nano Engineering Engineering-Electrical and Electronic Engineering
CiteScore
3.30
自引率
0.00%
发文量
67
审稿时长
80 days
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