{"title":"STT-MTJ-based TRNG with on-the-fly temperature/current variation compensation","authors":"E. Vatajelu, G. D. Natale, P. Prinetto","doi":"10.1109/IOLTS.2016.7604694","DOIUrl":null,"url":null,"abstract":"A hardware True Random Number Generator (TRNG) yields random numbers from a physical process. Traditionally, such devices are based on statistically random signals such as thermal noise or other quantum phenomena. In this paper we propose an innovative TRNG design using a Spin Transfer Torque Magnetic Tunnel Junction (STT-MTJ) device. We exploit the stochastic nature of the MTJ device switching, and perform on-the-fly temperature/current variation compensation. We show that the proposed solution keeps up with environmental changes and generates random sequences with high probability.","PeriodicalId":6580,"journal":{"name":"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","volume":"25 1","pages":"179-184"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2016.7604694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
A hardware True Random Number Generator (TRNG) yields random numbers from a physical process. Traditionally, such devices are based on statistically random signals such as thermal noise or other quantum phenomena. In this paper we propose an innovative TRNG design using a Spin Transfer Torque Magnetic Tunnel Junction (STT-MTJ) device. We exploit the stochastic nature of the MTJ device switching, and perform on-the-fly temperature/current variation compensation. We show that the proposed solution keeps up with environmental changes and generates random sequences with high probability.