激光雕刻全息图作为随机数生成器的熵源

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
{"title":"激光雕刻全息图作为随机数生成器的熵源","authors":"Christos Tselios ,&nbsp;Anastasios Tsakas ,&nbsp;Simone Mazzucato ,&nbsp;Christina Politi (Tanya) ,&nbsp;Panagiotis Rizomiliotis ,&nbsp;Dimitris Alexandropoulos","doi":"10.1016/j.mne.2024.100290","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":37111,"journal":{"name":"Micro and Nano Engineering","volume":"25 ","pages":"Article 100290"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Laser-engraved holograms as entropy source for random number generators\",\"authors\":\"Christos Tselios ,&nbsp;Anastasios Tsakas ,&nbsp;Simone Mazzucato ,&nbsp;Christina Politi (Tanya) ,&nbsp;Panagiotis Rizomiliotis ,&nbsp;Dimitris Alexandropoulos\",\"doi\":\"10.1016/j.mne.2024.100290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":37111,\"journal\":{\"name\":\"Micro and Nano Engineering\",\"volume\":\"25 \",\"pages\":\"Article 100290\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Micro and Nano Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590007224000534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Micro and Nano Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590007224000534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Laser-engraved holograms as entropy source for random number generators
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
期刊最新文献
Laser-engraved holograms as entropy source for random number generators Developments in the design and microfabrication of photovoltaic retinal implants Enhanced plasma etching using nonlinear parameter evolution Low-frequency electromagnetic harvester for wind turbine vibrations From ghost to state-of-the-art process corrections – PEC enabled e-beam nanofabrication
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1