Design of adiabatic logic-based energy-efficient and reliable puf for iot devices

S. Dinesh Kumar, Himanshu Thapliyal

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15 Citations (SciVal)


Internet of Things (IoT) devices have stringent constraints on power and energy consumption. Adiabatic logic has been proposed as a novel computing platform to design energy-efficient IoT devices. Physically Unclonable Functions (PUFs) is a promising paradigm to solve security concerns such as Integrated Circuit (IC) piracy, IC counterfeiting, and the like. PUFs have shown great promise for generating the secret bits that can be used in the secure systems in an inexpensive way. However, designing a reliable PUF along with energy-efficiency is a big challenge. Therefore, for energy-efficient and reliable PUFs, we are proposing a novel energy-efficient adiabatic logic-based PUF structure. The proposed adiabatic PUF uses energy recovery concept to achieve high energy efficiency and uses the time ramp voltage to exhibit the reliable start-up behavior. The channel length of the transistors play a major role in controlling manufacturing variations. So, in this article, the circuit simulations are performed with 180nm and 45nm Complementary metal-oxide-semiconductor (CMOS) technology in a Cadence Spectre simulator to analyze the impact of channel length variations. The proposed adiabatic PUF has worst-case reliability of 96.84% and 99.6% with temperature variations at 180nm and 45nm CMOS technology, respectively. Further, the proposed adiabatic PUF consumes 1.071fJ/bit-per cycle at 180nm CMOS technology and 0.08fJ/bit-per cycle at 45nm CMOS technology.

Original languageEnglish
Article number34
JournalACM Journal on Emerging Technologies in Computing Systems
Issue number3
StatePublished - Jul 2020

Bibliographical note

Funding Information:
This work is partially supported by National Science Foundation CAREER Award No. 1845448. Authors’ address: S. D. Kumar and H. Thapliyal (corresponding author), University of Kentucky, Department of Electrical and Computer Engineering, Lexington, KY, 40506; email: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from © 2020 Association for Computing Machinery. 1550-4832/2020/06-ART34 $15.00

Publisher Copyright:
© 2020 ACM.


  • Hardware security
  • IoT devices
  • adiabatic computing
  • physically unclonable functions (PUFs)

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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