KEM-22: An Efficient Post-Quantum ML-KEM Hardware Accelerator on 22-nm ASIC

This paper presents a performant and compact hardware accelerator for the ML-KEM algorithm, compliant with the NIST FIPS 203 specification and implemented in a 22nm ASIC technology. The proposed design supports all three standardized security levels (ML-KEM-512, -768, and -1024) using a unified, parameter-agnostic architecture that avoids logic duplication. The design relies exclusively on SRAM blocks for storage, completely eliminating FIFOs and intermediate buffers, while flip-flops are used only in timing-critical paths to achieve high-frequency operation with minimal area overhead. Among all known ASIC implementations, our architecture achieves the best normalized area-time product across all ML-KEM parameter sets, demonstrating efficiency and scalability, while also delivering the lowest power and energy per operation among state-of-the-art solutions. These results make the proposed design a strong candidate for real-world post-quantum cryptographic deployments on constrained hardware and IoT platforms.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-11-20
DOI
https://doi.org/10.1109/jiot.2025.3635477
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

KEM-22: An Efficient Post-Quantum ML-KEM Hardware Accelerator on 22-nm ASIC

Stefano Di Matteo, Emanuele Valea, Sergio Saponara, Ivan Sarno
IEEE Internet of Things Journal
Cryptographic Implementations and Security
article

KEM-22: An Efficient Post-Quantum ML-KEM Hardware Accelerator on 22-nm ASIC

Stefano Di Matteo, Emanuele Valea, Sergio Saponara, Ivan Sarno
article en

Abstract

This paper presents a performant and compact hardware accelerator for the ML-KEM algorithm, compliant with the NIST FIPS 203 specification and implemented in a 22nm ASIC technology. The proposed design supports all three standardized security levels (ML-KEM-512, -768, and -1024) using a unified, parameter-agnostic architecture that avoids logic duplication. The design relies exclusively on SRAM blocks for storage, completely eliminating FIFOs and intermediate buffers, while flip-flops are used only in timing-critical paths to achieve high-frequency operation with minimal area overhead. Among all known ASIC implementations, our architecture achieves the best normalized area-time product across all ML-KEM parameter sets, demonstrating efficiency and scalability, while also delivering the lowest power and energy per operation among state-of-the-art solutions. These results make the proposed design a strong candidate for real-world post-quantum cryptographic deployments on constrained hardware and IoT platforms.

IEEE Internet of Things JournalVol. 13(3)
University of Pisa (IT), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), CEA Grenoble (FR), Laboratoire d'Électronique des Technologies de l'Information (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 81%
Cryptographic Implementations and Security
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.

KEM-22: An Efficient Post-Quantum ML-KEM Hardware Accelerator on 22-nm ASIC — Stefano Di Matteo, Emanuele Valea, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS