Benchmarking NIST LWC candidates over GF22FDx achieving 3.5 Tb/J and 4.4 Gbps for IoT applications

Cryptography is a cornerstone of Internet-of-Things (IoT) security, protecting sensitive data and ensuring the integrity of communication channels. Standard cryptography, designed for server environments with ample resources algorithms e.g. Advanced Encryption Standard (AES), may not be suitable for the resource-constrained devices prevalent in IoT nodes, edge computing, and Unmanned Aerial Vehicles (UAVs). National Institute of Standards and Technology (NIST) initiated a standardization process for Lightweight Cryptography (LWC) algorithms to address this challenge. Ten candidate algorithms were selected for the final round in 2021, and Ascon was announced as the recommended LWC in 2023 and then published as a Special Publication (SP 800-232) instead of a Federal Information Processing Standard (FIPS) standard. As an SP, the use of Ascon in IoT nodes is recommended but not mandatory. This flexibility allows for the consideration of alternative algorithms based on specific application needs of area, performance and/or energy efficiency. Therefore, it is essential to evaluate and rank other LWC candidates in each metric. In addition, exploring Hardware (HW), Software (SW), and HW/SW co-design architectures is vital in IoT to meet diverse security and computational needs. This work provides a complete silicon-based benchmarking for the final candidates using three different architectures of HW, SW and HW/SW. Benchmarking is conducted fairly by unifying architectures, optimizations, and fabrication over the same chip. CMOS Global Foundries (GF22FDx) technology is used for fabrication. Results show that HW enhances the throughput by up to 6 orders of magnitude and energy efficiency by up to 5 orders of magnitude compared to SW. Xoodyak stands out as a top performer in terms of energy efficiency, while Sparkle excels in throughput, and TinyJambu is the smallest in terms of area.

Authors

Institutions

Publication Details

Journal
Computers & Electrical Engineering
Published
2025-10-09
DOI
https://doi.org/10.1016/j.compeleceng.2025.110758
Citations
1
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Benchmarking NIST LWC candidates over GF22FDx achieving 3.5 Tb/J and 4.4 Gbps for IoT applications

Doug Gardner, Sohrab Aftabjahani, Eslam Yahya Tawfik, Islam Elsadek et al.
1 citations
Computers & Electrical Engineering
Advanced Fiber Optic Sensors
0.73
article

Benchmarking NIST LWC candidates over GF22FDx achieving 3.5 Tb/J and 4.4 Gbps for IoT applications

Doug Gardner, Sohrab Aftabjahani, Eslam Yahya Tawfik, Islam Elsadek, John Ross Wallrabenstein, Rosario Cammarota, Erik MacLean, Ahmed Zaky Ghonem, Sherif Abouzeid
article en
1 citations

Abstract

Cryptography is a cornerstone of Internet-of-Things (IoT) security, protecting sensitive data and ensuring the integrity of communication channels. Standard cryptography, designed for server environments with ample resources algorithms e.g. Advanced Encryption Standard (AES), may not be suitable for the resource-constrained devices prevalent in IoT nodes, edge computing, and Unmanned Aerial Vehicles (UAVs). National Institute of Standards and Technology (NIST) initiated a standardization process for Lightweight Cryptography (LWC) algorithms to address this challenge. Ten candidate algorithms were selected for the final round in 2021, and Ascon was announced as the recommended LWC in 2023 and then published as a Special Publication (SP 800-232) instead of a Federal Information Processing Standard (FIPS) standard. As an SP, the use of Ascon in IoT nodes is recommended but not mandatory. This flexibility allows for the consideration of alternative algorithms based on specific application needs of area, performance and/or energy efficiency. Therefore, it is essential to evaluate and rank other LWC candidates in each metric. In addition, exploring Hardware (HW), Software (SW), and HW/SW co-design architectures is vital in IoT to meet diverse security and computational needs. This work provides a complete silicon-based benchmarking for the final candidates using three different architectures of HW, SW and HW/SW. Benchmarking is conducted fairly by unifying architectures, optimizations, and fabrication over the same chip. CMOS Global Foundries (GF22FDx) technology is used for fabrication. Results show that HW enhances the throughput by up to 6 orders of magnitude and energy efficiency by up to 5 orders of magnitude compared to SW. Xoodyak stands out as a top performer in terms of energy efficiency, while Sparkle excels in throughput, and TinyJambu is the smallest in terms of area.

Computers & Electrical EngineeringVol. 128
Analog Devices (United States) (US), Mission College (US), The Ohio State University (US), Los Angeles Mission College (US)
Openalex Percentile: Top 23%
Advanced Fiber Optic Sensors
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.