Physically Unclonable Function Using Ring Oscillator Collapse in 0.5 v Near-Threshold Voltage for Low-Power Internet of Things

Jeongsik Yoo, Doyoun Kim, Hyunsu Park, Minseob Shim, Choonghwan Lee, Chulwoo Kim

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

5 Citations (Scopus)

Abstract

Many Internet of Things (IoT) devices have special and demanding design requirements, including limited energy, size, storage and processing capabilities. In addition, many IoT devices may be deployed in public places, making them vulnerable to physical attacks and replication attacks. Therefore, IoT devices are required to provide a solid security against duplication and counterfeiting even with these restrictions. To solve this problem, we propose a low-power physical unclonable function (PUF) for IoTs. The proposed low-power PUF at 0.5 V supply voltage (in near-threshold voltage region) achieves an energy efficiency of 36.7 pJ/b by lowering the bias voltage extremely and operates stably from -20°C to 60°C. In this paper, PUF for low-power IoTs is implemented in a 28-nm CMOS process and occupies 10801μm 2 area.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538658079
DOIs
Publication statusPublished - 2018 Nov 28
Event2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of
Duration: 2018 Jun 242018 Jun 26

Publication series

Name2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018

Other

Other2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018
Country/TerritoryKorea, Republic of
CityJeJu
Period18/6/2418/6/26

Keywords

  • Chip ID
  • Internet of things (IoT)
  • Near-threshold voltage (NTV)
  • Physically unclonable function (PUF)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

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