Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF

The escalating development of artificial intelligence and machine learning in Industry 4.0 and cyber-physical systems has heightened security challenges for humans. In addressing this, Physical Unclonable Functions (PUFs) have emerged as a promising, lightweight solution to enhance the security of I...

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Main Authors: Alireza Shafiei, Mehrnaz Monajati
Format: Article
Language:English
Published: Amirkabir University of Technology 2025-03-01
Series:AUT Journal of Electrical Engineering
Subjects:
Online Access:https://eej.aut.ac.ir/article_5461_4a9753cf7e6b3a524cc0450706855925.pdf
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author Alireza Shafiei
Mehrnaz Monajati
author_facet Alireza Shafiei
Mehrnaz Monajati
author_sort Alireza Shafiei
collection DOAJ
description The escalating development of artificial intelligence and machine learning in Industry 4.0 and cyber-physical systems has heightened security challenges for humans. In addressing this, Physical Unclonable Functions (PUFs) have emerged as a promising, lightweight solution to enhance the security of Internet of Things (IoT) devices. The imperative need for secure and low-power cryptographic devices has become evident in the IoT domain and its evolving technologies. Although IoT has enabled battery-operated devices to transmit sensitive data, it has also introduced challenges, including high power consumption and security vulnerabilities. This paper presents an exploration of the utilization of adiabatic logic with carbon nanotube field-effect transistors (CNTFETs) for the design of lightweight IoT devices aimed at addressing these challenges. The proposed computing platform and architecture circuit, employing Static Random-Access Memory (SRAM), demonstrate the potential to enhance security and energy efficiency for IoT applications. Our research showcases highly resilient CNTFET and adiabatic logic-based SRAM-PUFs, exhibiting an ultra-low start-up power of 1.8 nw. The PUF metrics, including uniformity, reliability, and uniqueness, are 46.10%, 88.47%, and 48.84%, respectively, across a 150% process variation. In this paper, we conduct circuit simulations using 32nm CNTFET technology in HSpice to scrutinize the impact of threshold voltage fluctuations. Further post-processing procedures are executed using MATLAB software.
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publishDate 2025-03-01
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spelling doaj-art-c966e4cede804ae9aa9ca8359f39b1312025-08-20T03:31:46ZengAmirkabir University of TechnologyAUT Journal of Electrical Engineering2588-29102588-29292025-03-01571314210.22060/eej.2024.22989.55785461Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUFAlireza Shafiei0Mehrnaz Monajati1Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, IranElectrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, IranThe escalating development of artificial intelligence and machine learning in Industry 4.0 and cyber-physical systems has heightened security challenges for humans. In addressing this, Physical Unclonable Functions (PUFs) have emerged as a promising, lightweight solution to enhance the security of Internet of Things (IoT) devices. The imperative need for secure and low-power cryptographic devices has become evident in the IoT domain and its evolving technologies. Although IoT has enabled battery-operated devices to transmit sensitive data, it has also introduced challenges, including high power consumption and security vulnerabilities. This paper presents an exploration of the utilization of adiabatic logic with carbon nanotube field-effect transistors (CNTFETs) for the design of lightweight IoT devices aimed at addressing these challenges. The proposed computing platform and architecture circuit, employing Static Random-Access Memory (SRAM), demonstrate the potential to enhance security and energy efficiency for IoT applications. Our research showcases highly resilient CNTFET and adiabatic logic-based SRAM-PUFs, exhibiting an ultra-low start-up power of 1.8 nw. The PUF metrics, including uniformity, reliability, and uniqueness, are 46.10%, 88.47%, and 48.84%, respectively, across a 150% process variation. In this paper, we conduct circuit simulations using 32nm CNTFET technology in HSpice to scrutinize the impact of threshold voltage fluctuations. Further post-processing procedures are executed using MATLAB software.https://eej.aut.ac.ir/article_5461_4a9753cf7e6b3a524cc0450706855925.pdfphysical unclonable function (puf)adiabaticcarbon nanotube field-effect transistor (cntfet)sram-puflow power
spellingShingle Alireza Shafiei
Mehrnaz Monajati
Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
AUT Journal of Electrical Engineering
physical unclonable function (puf)
adiabatic
carbon nanotube field-effect transistor (cntfet)
sram-puf
low power
title Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
title_full Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
title_fullStr Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
title_full_unstemmed Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
title_short Efficient and Lightweight IoT Security Using CNTFET-Based Ultra-Low Power SRAM-PUF
title_sort efficient and lightweight iot security using cntfet based ultra low power sram puf
topic physical unclonable function (puf)
adiabatic
carbon nanotube field-effect transistor (cntfet)
sram-puf
low power
url https://eej.aut.ac.ir/article_5461_4a9753cf7e6b3a524cc0450706855925.pdf
work_keys_str_mv AT alirezashafiei efficientandlightweightiotsecurityusingcntfetbasedultralowpowersrampuf
AT mehrnazmonajati efficientandlightweightiotsecurityusingcntfetbasedultralowpowersrampuf