AI & ML
Energy Consumption of Post-Quantum Cryptography on Constrained and General-Purpose Architectures
arXiv cs.CR0 views
arXiv:2610.27111v1 Announce Type: new Abstract: With Q-day approaching, the transition to post-quantum cryptography (PQC) has begun, with governments across the US, UK and EU mandating migration to quantum-resistant standards. This paper benchmarks the three NIST-standardised PQC algorithms - FIPS 203 (ML-KEM), FIPS 204 (ML-DSA) and FIPS 205 (SLH-DSA) - across key generation, signing and verification operations, measuring both computational performance and energy consumption on a range of constrained IoT-class devices, from the 32-bit Raspberry Pi 1 and Zero to the 64-bit Raspberry Pi 4, as well as commodity laptop hardware. Using the FNIRSI FNB58 USB power meter and OpenSSL~3.5, results show that ML-KEM and ML-DSA achieve energy and speed efficiency comparable to classical elliptic-curve cryptography across all tested architectures. However, SLH-DSA signing is inadvisable on constrained hardware: energy costs for SLH-DSA signing on 32-bit devices were up to 243\% higher than on equivalent 64-bit hardware, making it impractical for resource-limited IoT deployments. These findings have direct implications for IoT security practitioners planning PQC migration.
Source:https://arxiv.org/abs/2610.27111PreviousECHO: Revealing Review-to-Submission Linkage in Anonymous Peer ReviewNextMind Your Boundaries: Boundary-Aware Model Obfuscation against Cross-node Attack
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