A Quantum-Resistant Advanced Metering Infrastructure

This paper focuses on quantum-resistant cryptographic schemes to enhance the security of smart metering against threats from both quantum and classical computers. In this sense, we consider FrodoKEM and CRYSTALS-Kyber quantum-resistant as asymmetric cryptographic schemes and AES-GCM as a symmetric one. Moreover, we detail the design and implementation of a dedicated cryptographic module customized to ensure quantum-resistant advanced metering infrastructure (QR-AMI). Analysis based on experimental implementation shows the viability of a QR-AMI anchored on dedicated cryptographic modules implemented on a microcontroller (low-power processor) or a system-on-a-chip device.

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Published
2025-09-01
DOI
https://doi.org/10.5753/sbseg.2025.8708
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
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article

A Quantum-Resistant Advanced Metering Infrastructure

Mateus de L. Filomeno, Leonardo de M. B. A. Dib, Moisés V. Ribeiro, Julio López et al.
Physical Unclonable Functions (PUFs) and Hardware Security
article

A Quantum-Resistant Advanced Metering Infrastructure

Mateus de L. Filomeno, Leonardo de M. B. A. Dib, Moisés V. Ribeiro, Julio López, Vinícius Lagrota
article en

Abstract

This paper focuses on quantum-resistant cryptographic schemes to enhance the security of smart metering against threats from both quantum and classical computers. In this sense, we consider FrodoKEM and CRYSTALS-Kyber quantum-resistant as asymmetric cryptographic schemes and AES-GCM as a symmetric one. Moreover, we detail the design and implementation of a dedicated cryptographic module customized to ensure quantum-resistant advanced metering infrastructure (QR-AMI). Analysis based on experimental implementation shows the viability of a QR-AMI anchored on dedicated cryptographic modules implemented on a microcontroller (low-power processor) or a system-on-a-chip device.

Universidade Federal de Juiz de Fora (BR), General Electric (United States) (US), Universidade Estadual de Campinas (UNICAMP) (BR), Centro de Estudos e Pesquisa em Saúde Coletiva (BR), Hospital de Clínicas da Unicamp (BR)
Openalex Percentile: Top 74%
Physical Unclonable Functions (PUFs) and Hardware Security
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