用于物理不可克隆功能的银导电桥ram

B. Cambou, F. Afghah, D. Sonderegger, J. Taggart, H. Barnaby, M. Kozicki
{"title":"用于物理不可克隆功能的银导电桥ram","authors":"B. Cambou, F. Afghah, D. Sonderegger, J. Taggart, H. Barnaby, M. Kozicki","doi":"10.1109/HST.2017.7951815","DOIUrl":null,"url":null,"abstract":"We are presenting a method to design reliable physical unclonable functions (PUFs), with silver based conductive-bridge random access memory (CB-RAM) arrays, to protect the internet of things (loT). The arrays that we fabricated in our pilot line, and characterized, operate at extremely low power which is highly desirable for security applications, and to protect cryptographic primitives. The experimental data presented in this work supports the selection of the programming voltage, the Vset, as the parameter, to generate PUF challenge-response pairs (CRP). The median Vset voltage at 0.12V is orders of magnitude lower than other non-volatile memory technologies, which can reduce the threat of side channel analysis. The level of stability, cell to cell, of the Vset that we characterized is acceptable when combined with methods based on ternary states, and resulted in low CRP error rates. Built-in-self-test capability (BIST) is used to differentiate unstable cells of the array, that carry the state “X”, from the solid cells carrying the states “0” and “1”, which are capable of generating reliable PUF CRPs. The use of machine learning algorithms can also compensate for the temperature drifts, noise, aging, and measurement instabilities normal variations. This research work is currently used to finalize and design a prototype with a custom state machine, and FPGA. We will fabricate various CB-RAM samples to optimize the quality of the PUFs.","PeriodicalId":190635,"journal":{"name":"2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Ag conductive bridge RAMs for physical unclonable functions\",\"authors\":\"B. Cambou, F. Afghah, D. Sonderegger, J. Taggart, H. Barnaby, M. Kozicki\",\"doi\":\"10.1109/HST.2017.7951815\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are presenting a method to design reliable physical unclonable functions (PUFs), with silver based conductive-bridge random access memory (CB-RAM) arrays, to protect the internet of things (loT). The arrays that we fabricated in our pilot line, and characterized, operate at extremely low power which is highly desirable for security applications, and to protect cryptographic primitives. The experimental data presented in this work supports the selection of the programming voltage, the Vset, as the parameter, to generate PUF challenge-response pairs (CRP). The median Vset voltage at 0.12V is orders of magnitude lower than other non-volatile memory technologies, which can reduce the threat of side channel analysis. The level of stability, cell to cell, of the Vset that we characterized is acceptable when combined with methods based on ternary states, and resulted in low CRP error rates. Built-in-self-test capability (BIST) is used to differentiate unstable cells of the array, that carry the state “X”, from the solid cells carrying the states “0” and “1”, which are capable of generating reliable PUF CRPs. The use of machine learning algorithms can also compensate for the temperature drifts, noise, aging, and measurement instabilities normal variations. This research work is currently used to finalize and design a prototype with a custom state machine, and FPGA. We will fabricate various CB-RAM samples to optimize the quality of the PUFs.\",\"PeriodicalId\":190635,\"journal\":{\"name\":\"2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HST.2017.7951815\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HST.2017.7951815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

我们提出了一种设计可靠的物理不可克隆功能(puf)的方法,采用银基导电桥随机存取存储器(CB-RAM)阵列,以保护物联网(loT)。我们在试验线中制造并表征的阵列以极低的功耗运行,这对于安全应用和保护密码原语非常理想。本工作提供的实验数据支持选择编程电压Vset作为参数,以生成PUF挑战响应对(CRP)。中值Vset电压为0.12V,比其他非易失性存储技术低几个数量级,这可以减少侧通道分析的威胁。当与基于三元态的方法相结合时,我们表征的Vset细胞间的稳定性水平是可以接受的,并且导致了低CRP错误率。内置自检能力(BIST)用于区分阵列中携带状态为“X”的不稳定细胞与携带状态为“0”和“1”的固体细胞,这些细胞能够产生可靠的PUF crp。机器学习算法的使用还可以补偿温度漂移、噪声、老化和测量不稳定性的正常变化。该研究工作目前用于使用自定义状态机和FPGA完成和设计原型。我们将制作各种CB-RAM样品以优化puf的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ag conductive bridge RAMs for physical unclonable functions
We are presenting a method to design reliable physical unclonable functions (PUFs), with silver based conductive-bridge random access memory (CB-RAM) arrays, to protect the internet of things (loT). The arrays that we fabricated in our pilot line, and characterized, operate at extremely low power which is highly desirable for security applications, and to protect cryptographic primitives. The experimental data presented in this work supports the selection of the programming voltage, the Vset, as the parameter, to generate PUF challenge-response pairs (CRP). The median Vset voltage at 0.12V is orders of magnitude lower than other non-volatile memory technologies, which can reduce the threat of side channel analysis. The level of stability, cell to cell, of the Vset that we characterized is acceptable when combined with methods based on ternary states, and resulted in low CRP error rates. Built-in-self-test capability (BIST) is used to differentiate unstable cells of the array, that carry the state “X”, from the solid cells carrying the states “0” and “1”, which are capable of generating reliable PUF CRPs. The use of machine learning algorithms can also compensate for the temperature drifts, noise, aging, and measurement instabilities normal variations. This research work is currently used to finalize and design a prototype with a custom state machine, and FPGA. We will fabricate various CB-RAM samples to optimize the quality of the PUFs.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信