2-Phase Energy-Efficient Secure Positive Feedback Adiabatic Logic for CPA-Resistant IoT Devices

Zachary Kahleifeh, Himanshu Thapliyal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Internet of Things (IoT) devices are mostly areas constrained and operate on a limited battery supply and therefore have tight energy budgets. Lightweight cryptography (LWC) such as PRESENT-80 allows for minimal area usage and low energy for secure operations. However, CMOS implemented LWCs are vulnerable to side-channel attacks such as Correlation Power Analysis (CPA). Adiabatic Logic is an emerging circuit design technique that can reduce energy consumption and be CPA resistant. Many existing adiabatic logic families use a 4-phase clocking scheme which pays a large area penalty. Thus, in this paper, we propose 2-EE-SPFAL, a 2-phase clocking scheme implementation of an existing adiabatic family known as EE-SPFAL. We explore 2-phase sinusoidal waves in terms of energy efficiency and security. To demonstrate energy savings and security against CPA attacks we construct one round of PRESENT-80 in both CMOS and 2-EE-SPFAL. Simulations were conducted using 45nm technology in Cadence Spectre. At 12.5MHz, our results show an average energy saving of 50% between CMOS and 2-EE-SPFAL. Furthermore, we performed a CPA attack on both the CMOS and 2-EE-SPFAL implementation and determined that the CMOS key could be retrieved while the adiabatic key was kept hidden.

Original languageEnglish
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings
ISBN (Electronic)9781728155036
DOIs
StatePublished - Jun 2020
Event6th IEEE World Forum on Internet of Things, WF-IoT 2020 - New Orleans, United States
Duration: Jun 2 2020Jun 16 2020

Publication series

NameIEEE World Forum on Internet of Things, WF-IoT 2020 - Symposium Proceedings

Conference

Conference6th IEEE World Forum on Internet of Things, WF-IoT 2020
Country/TerritoryUnited States
CityNew Orleans
Period6/2/206/16/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is partially supported by National Science Foundation CAREER Award No. 1845448.

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Correlation Power Analysis
  • Energy recovery computing
  • Hardware Security
  • Side-Channel Attacks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Computational Mechanics
  • Instrumentation

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