Low-power and secure lightweight cryptography via tfet-based energy recovery circuits

Himanshu Thapliyal, T. S.S. Varun, S. Dinesh Kumar

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

15 Scopus citations

Abstract

Lightweight cryptography (LWC) provides cryptographic solutions for resource-constrained devices such as RFID tags, industrial controllers, sensor nodes, and smart cards. LWC based devices have stringent constraints on power consumption and are vulnerable to side-channel attacks such as Differential Power Analysis (DPA). The existing CMOS-based countermeasures for DPA are not suitable for circuits working under power constraints. Energy recovery logic is a promising computing paradigm for designing low-power and DPA-resistant hardware. Further, it has been proven that emerging transistors could help mitigate DPA attacks while consuming low-power. This work investigates the utility of emerging Tunnel FET (TFET) transistors in the energy recovery circuits to design lowpower and DPA resistant LWC circuits. The PRESENT-80 LWC algorithm is used as a benchmark circuit. The PRESENT-80 algorithm is implemented using TFET based Symmetric Pass Gate Adiabatic Logic (TunSAL). SPICE simulations at 12.5 MHz validated that one round of PRESENT-80 implemented using TunSAL has power saving of 62% and 28% in comparison to CMOS-SPGAL and FinFET-SPGAL (FinSAL), respectively. The security of TunSAL based PRESENT-80 has been evaluated by performing a DPA attack through SPICE simulations. We proved that PRESENT-80 algorithm implemented using TunSAL is resistant to DPA attacks.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Proceedings
Pages1-4
Number of pages4
ISBN (Electronic)9781538615539
DOIs
StatePublished - Nov 28 2017
Event2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Washington, United States
Duration: Nov 8 2017Nov 9 2017

Publication series

Name2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Proceedings
Volume2017-January

Conference

Conference2017 IEEE International Conference on Rebooting Computing, ICRC 2017
Country/TerritoryUnited States
CityWashington
Period11/8/1711/9/17

Bibliographical note

Publisher Copyright:
©2017 IEEE.

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Statistical and Nonlinear Physics
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Software

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