Mohammad Nasim Imtiaz Khan, Chak Yuen Cheng, Sung-Hao Lin, Abdullah Ash-Saki, Swaroop Ghosh
{"title":"A Morphable Physically Unclonable Function and True Random Number Generator using a Commercial Magnetic Memory","authors":"Mohammad Nasim Imtiaz Khan, Chak Yuen Cheng, Sung-Hao Lin, Abdullah Ash-Saki, Swaroop Ghosh","doi":"10.1109/ISQED48828.2020.9136975","DOIUrl":null,"url":null,"abstract":"In this work, a morphable security primitive using commercial magnetic memory is proposed which can be utilized as a Physically Unclonable Function (PUF) and as a True Random Number Generator (TRNG) by manipulating the write time and the number of write pulses respectively. The intra-HD, inter-HD, energy, bandwidth and area of the proposed PUF is found to be 0, 46.25%, 0.14pJ/bit, 0.34Gbit/s and $\\mathbf{0.385}\\mu\\mathbf{m}^{\\mathbf{2}}/\\mathbf{bit}$ (including peripherals) respectively. The proposed TRNG provides all possible outcomes with a standard deviation of 0.0062, correlation coefficient of 0.05 and an entropy of 0.95. The energy, bandwidth and area of the proposed TRNG is found to be 0.41pJ/bit, 0.12Gbit/s and $\\mathbf{0.769}\\mu\\mathbf{m}^{\\mathbf{2}}/\\mathbf{bit}$ (including peripherals). The proposed TRNG has also been tested with NIST test suite.","PeriodicalId":225828,"journal":{"name":"2020 21st International Symposium on Quality Electronic Design (ISQED)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 21st International Symposium on Quality Electronic Design (ISQED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISQED48828.2020.9136975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this work, a morphable security primitive using commercial magnetic memory is proposed which can be utilized as a Physically Unclonable Function (PUF) and as a True Random Number Generator (TRNG) by manipulating the write time and the number of write pulses respectively. The intra-HD, inter-HD, energy, bandwidth and area of the proposed PUF is found to be 0, 46.25%, 0.14pJ/bit, 0.34Gbit/s and $\mathbf{0.385}\mu\mathbf{m}^{\mathbf{2}}/\mathbf{bit}$ (including peripherals) respectively. The proposed TRNG provides all possible outcomes with a standard deviation of 0.0062, correlation coefficient of 0.05 and an entropy of 0.95. The energy, bandwidth and area of the proposed TRNG is found to be 0.41pJ/bit, 0.12Gbit/s and $\mathbf{0.769}\mu\mathbf{m}^{\mathbf{2}}/\mathbf{bit}$ (including peripherals). The proposed TRNG has also been tested with NIST test suite.