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 language | English |
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Title of host publication | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538658079 |
DOIs | |
Publication status | Published - 2018 Nov 28 |
Event | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 - JeJu, Korea, Republic of Duration: 2018 Jun 24 → 2018 Jun 26 |
Publication series
Name | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 |
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Other
Other | 2018 IEEE International Conference on Consumer Electronics - Asia, ICCE-Asia 2018 |
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Country/Territory | Korea, Republic of |
City | JeJu |
Period | 18/6/24 → 18/6/26 |
Bibliographical note
Funding Information:This work was supported by the IT R&D program of MOTIE/KEIT, [10052716, Design technology development of ultra-low voltage operating circuit and IP for smart sensor SoC] and fabrication was supported by Samsung Electronics.
Publisher Copyright:
© 2018 IEEE.
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