Yingchun Lu , Bolin Sun , Enpu Xu , Changlong Cao , Linghui Zhang , Liang Yao
{"title":"基于双输入振荡电路的高吞吐量真随机数发生器","authors":"Yingchun Lu , Bolin Sun , Enpu Xu , Changlong Cao , Linghui Zhang , Liang Yao","doi":"10.1016/j.mejo.2024.106367","DOIUrl":null,"url":null,"abstract":"<div><p>The rapid development in the fields of information encryption, key generation, and algorithm initialization requires an increasing rate of true random numbers, making it necessary to design a fast true random number generator. In this work, a dual-mode conversion high throughput true random number generator (TRNG) based on a dual input oscillating XOR circuit (DIO-XOR) is proposed, which is designed using DIO-XOR, combined with a MUX selects the feedback mode of the whole circuit: self-feedback/mutual feedback. It is verified by automatic layout and routing on Xilinx Artix-7 and Kintex-7 FPGAs with a throughput rate of 650Mbps, which is achieved with low hardware overhead, and passes the entropy estimation test suite, NIST SP800-90B, as well as TESTU01 with high entropy, the sequences generated in the temperature-voltage fluctuation test pass the NIST SP800-22 test with good robustness.</p></div>","PeriodicalId":49818,"journal":{"name":"Microelectronics Journal","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-throughput true random number generator based on a dual-input oscillation circuit\",\"authors\":\"Yingchun Lu , Bolin Sun , Enpu Xu , Changlong Cao , Linghui Zhang , Liang Yao\",\"doi\":\"10.1016/j.mejo.2024.106367\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The rapid development in the fields of information encryption, key generation, and algorithm initialization requires an increasing rate of true random numbers, making it necessary to design a fast true random number generator. In this work, a dual-mode conversion high throughput true random number generator (TRNG) based on a dual input oscillating XOR circuit (DIO-XOR) is proposed, which is designed using DIO-XOR, combined with a MUX selects the feedback mode of the whole circuit: self-feedback/mutual feedback. It is verified by automatic layout and routing on Xilinx Artix-7 and Kintex-7 FPGAs with a throughput rate of 650Mbps, which is achieved with low hardware overhead, and passes the entropy estimation test suite, NIST SP800-90B, as well as TESTU01 with high entropy, the sequences generated in the temperature-voltage fluctuation test pass the NIST SP800-22 test with good robustness.</p></div>\",\"PeriodicalId\":49818,\"journal\":{\"name\":\"Microelectronics Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microelectronics Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1879239124000717\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microelectronics Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1879239124000717","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
High-throughput true random number generator based on a dual-input oscillation circuit
The rapid development in the fields of information encryption, key generation, and algorithm initialization requires an increasing rate of true random numbers, making it necessary to design a fast true random number generator. In this work, a dual-mode conversion high throughput true random number generator (TRNG) based on a dual input oscillating XOR circuit (DIO-XOR) is proposed, which is designed using DIO-XOR, combined with a MUX selects the feedback mode of the whole circuit: self-feedback/mutual feedback. It is verified by automatic layout and routing on Xilinx Artix-7 and Kintex-7 FPGAs with a throughput rate of 650Mbps, which is achieved with low hardware overhead, and passes the entropy estimation test suite, NIST SP800-90B, as well as TESTU01 with high entropy, the sequences generated in the temperature-voltage fluctuation test pass the NIST SP800-22 test with good robustness.
期刊介绍:
Published since 1969, the Microelectronics Journal is an international forum for the dissemination of research and applications of microelectronic systems, circuits, and emerging technologies. Papers published in the Microelectronics Journal have undergone peer review to ensure originality, relevance, and timeliness. The journal thus provides a worldwide, regular, and comprehensive update on microelectronic circuits and systems.
The Microelectronics Journal invites papers describing significant research and applications in all of the areas listed below. Comprehensive review/survey papers covering recent developments will also be considered. The Microelectronics Journal covers circuits and systems. This topic includes but is not limited to: Analog, digital, mixed, and RF circuits and related design methodologies; Logic, architectural, and system level synthesis; Testing, design for testability, built-in self-test; Area, power, and thermal analysis and design; Mixed-domain simulation and design; Embedded systems; Non-von Neumann computing and related technologies and circuits; Design and test of high complexity systems integration; SoC, NoC, SIP, and NIP design and test; 3-D integration design and analysis; Emerging device technologies and circuits, such as FinFETs, SETs, spintronics, SFQ, MTJ, etc.
Application aspects such as signal and image processing including circuits for cryptography, sensors, and actuators including sensor networks, reliability and quality issues, and economic models are also welcome.