Design of an energy-efficient true random number generator based on triple read-write data-stream multiplexing of MTJ devices

Akira Tamakoshi, Naoya Onizawa, Hitoshi Yamagata, Hiroyuki Fujita, Takahiro Hanyu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we introduce an energy-efficient true random number generator (TRNG) using triple read-write data-stream multiplexing combined CMOS-circuits with three-terminal magnetic tunnel junction (3T-MTJ) devices. When multiple 3T-MTJ devices are used and sequentially activated for high-speed random-number generation, the sufficient timing margin must be guaranteed for correct random-number bit stream from the 3T-MTJ devices. In the proposed TRNG, random-number bit streams are triplicated and three individual random-number bit streams are superposed among them on a single output line, which achieves high-speed and energy-efficient random number generation. We use 65 nm-CMOS/3T-MTJ design technologies, and confirm its correct operation verification by HSPICE simulation with a 3T-MTJ model. The quality of random numbers generated is verified by NIST test. As a result, the energy consumption per bit is 0.5 pJ / bit, which is about 1/10 of a conventional CMOS-based TRNG.

Original languageEnglish
Title of host publicationNEWCAS 2020 - 18th IEEE International New Circuits and Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages283-286
Number of pages4
ISBN (Electronic)9781728170442
DOIs
Publication statusPublished - 2020 Jun
Event18th IEEE International New Circuits and Systems Conference, NEWCAS 2020 - Montreal, Canada
Duration: 2020 Jun 162020 Jun 19

Publication series

NameNEWCAS 2020 - 18th IEEE International New Circuits and Systems Conference, Proceedings

Conference

Conference18th IEEE International New Circuits and Systems Conference, NEWCAS 2020
Country/TerritoryCanada
CityMontreal
Period20/6/1620/6/19

Keywords

  • IoT device
  • Magnetic tunnel junction
  • True random number generator

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Instrumentation

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