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arXiv · 2609.23902

Benchmarking Post-Quantum Cryptography in Lightweight Virtualization Environments on Embedded Hardware

Nikolai Puch·Chi Hieu Ta·Moritz Beckel
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Abstract

Post-Quantum Cryptography (PQC) is being deployed while embedded systems increasingly adopt lightweight virtualization for workload isolation and security. Both trends change performance characteristics, yet their interaction is not well understood. To address this, we present a measurement study of PQC primitives on embedded-class ARM hardware under three execution environments with a shared software stack: native execution, a Docker container, and a Unikraft unikernel running under QEMU. We benchmark five signature and five key encapsulation mechanism families, and, for comparison, two classical algorithms each. We evaluate them using different parameter sets for a total of around 70 configurations, measuring execution time, memory, and energy per operation. To better gauge the impact on applications, we evaluated TLS 1.3 cipher combinations. We find that container overhead is negligible for primitive computation, whereas unikernel overhead depends on the algorithm. For most PQC families the overhead is negligible. A moderate overhead (1.28-1.53) arises in BIKE, HQC, and MAYO, and, above all, in Falcon signing (17.8-19.2). Per-operation energy closely tracks execution time in all environments. For TLS handshakes, container and unikernel clients need more time and energy per handshake, while all three environments converge once expensive post-quantum algorithms dominate the handshake. In these cases algorithm choice affects per-handshake energy by up to three orders of magnitude, far outweighing the environment. Overall, virtualization cost is inversely related to cryptographic cost: environment choice matters most for computationally cheap, standardized algorithms, while for expensive schemes, algorithm choice alone dominates performance.

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Nikolai Puch, Chi Hieu Ta, Moritz Beckel. 2026-09-20. Benchmarking Post-Quantum Cryptography in Lightweight Virtualization Environments on Embedded Hardware. https://arxiv.org/abs/2609.23902

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