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 language | English |
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Title of host publication | 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Proceedings |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781538615539 |
DOIs | |
State | Published - Nov 28 2017 |
Event | 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Washington, United States Duration: Nov 8 2017 → Nov 9 2017 |
Publication series
Name | 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 - Proceedings |
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Volume | 2017-January |
Conference
Conference | 2017 IEEE International Conference on Rebooting Computing, ICRC 2017 |
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Country/Territory | United States |
City | Washington |
Period | 11/8/17 → 11/9/17 |
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