{"title":"循环PUF:碳纳米管场效应管技术中基于循环算子的PUF","authors":"B. Srinivasu, A. Chattopadhyay","doi":"10.1109/NANO51122.2021.9514291","DOIUrl":null,"url":null,"abstract":"This paper proposes a ternary cycle operator-based PUF in CNFET technology. The PUF is designed using ternary unary operators and mainly uses cycle operators in the ternary logic, hence named as cycle PUF. The proposed PUF is a delay based design using cycle operators $A^{1}$ and $A^{2}$. These operators with their intrinsic addition capability, they provide better randomness. A delay line is designed using cycle operators $A^{1}$ and $A^{2}$. The delay line provides random delay at the output through process variations of the CNT. Monte-Carlo simulations reveal that the proposed PUF is generating 51.2% of 0's and 48.7% of 1's.","PeriodicalId":6791,"journal":{"name":"2021 IEEE 21st International Conference on Nanotechnology (NANO)","volume":"8 4","pages":"13-16"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Cycle PUF: A Cycle operator based PUF in Carbon Nanotube FET Technology\",\"authors\":\"B. Srinivasu, A. Chattopadhyay\",\"doi\":\"10.1109/NANO51122.2021.9514291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a ternary cycle operator-based PUF in CNFET technology. The PUF is designed using ternary unary operators and mainly uses cycle operators in the ternary logic, hence named as cycle PUF. The proposed PUF is a delay based design using cycle operators $A^{1}$ and $A^{2}$. These operators with their intrinsic addition capability, they provide better randomness. A delay line is designed using cycle operators $A^{1}$ and $A^{2}$. The delay line provides random delay at the output through process variations of the CNT. Monte-Carlo simulations reveal that the proposed PUF is generating 51.2% of 0's and 48.7% of 1's.\",\"PeriodicalId\":6791,\"journal\":{\"name\":\"2021 IEEE 21st International Conference on Nanotechnology (NANO)\",\"volume\":\"8 4\",\"pages\":\"13-16\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 21st International Conference on Nanotechnology (NANO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NANO51122.2021.9514291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 21st International Conference on Nanotechnology (NANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NANO51122.2021.9514291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
在CNFET技术中提出了一种基于三元循环算子的PUF。该PUF采用三元一元算子进行设计,在三元逻辑中主要使用循环算子,因此称为循环PUF。所提出的PUF是一种基于延迟的设计,使用循环算子$ a ^{1}$和$ a ^{2}$。这些算子以其固有的加法能力,提供了更好的随机性。利用循环算子$A^{1}$和$A^{2}$设计了延迟线。延迟线通过碳纳米管的工艺变化在输出端提供随机延迟。蒙特卡罗模拟显示,所提出的PUF产生51.2%的0和48.7%的1。
Cycle PUF: A Cycle operator based PUF in Carbon Nanotube FET Technology
This paper proposes a ternary cycle operator-based PUF in CNFET technology. The PUF is designed using ternary unary operators and mainly uses cycle operators in the ternary logic, hence named as cycle PUF. The proposed PUF is a delay based design using cycle operators $A^{1}$ and $A^{2}$. These operators with their intrinsic addition capability, they provide better randomness. A delay line is designed using cycle operators $A^{1}$ and $A^{2}$. The delay line provides random delay at the output through process variations of the CNT. Monte-Carlo simulations reveal that the proposed PUF is generating 51.2% of 0's and 48.7% of 1's.