CRMar 10

Post-Quantum Entropy as a Service for Embedded Systems

arXiv:2603.10274v18.7h-index: 3
Predicted impact top 59% in CR · last 90 daysOriginality Incremental advance
AI Analysis

This addresses the critical need for secure entropy sources in resource-constrained embedded systems, representing an incremental improvement by integrating existing quantum and post-quantum technologies into a practical service architecture.

The paper tackles the problem of providing high-quality entropy for embedded cryptography by developing a Quantum Entropy as a Service system that delivers quantum-derived entropy over post-quantum-secured channels to ESP32-class devices, resulting in post-quantum configurations being up to 63% faster than classical baselines in DTLS handshake benchmarks.

Embedded cryptography stands or falls on entropy quality, yet small devices have few trustworthy sources and little tolerance for heavyweight protocols. We build a Quantum Entropy as a Service (QEaaS) system that moves QRNG-derived entropy from a Quantis device to ESP32-class clients over post-quantum-secured channels. On the server side, the design exposes two paths: direct quantum entropy through a custom OpenSSL provider and mixed entropy through the Linux system pool. On the client side, we extend libcoap's Zephyr support, integrate wolfSSL-based DTLS 1.3 into the CoAP stack, and add a BLAKE2s entropy pool that preserves the standard Zephyr extraction interface while introducing an injection API for server-provided entropy. Benchmarks on ESP32 hardware, targeting 100 iterations per configuration, show that ML-KEM-512 completes a DTLS 1.3 handshake in 313 ms on average without certificate verification, 35% faster than ECDHE P-256. Pairing ML-KEM-512 with ML-DSA-44 lowers the mean to 225 ms. Certificate verification adds roughly 194 ms for ECDSA but only 17 ms for ML-DSA-44, so the fully post-quantum configuration remains 63% faster than classical ECDHE P-256 with ECDSA even under full verification. Local BLAKE2s pool operations stay below 0.1 ms combined. On this platform, post-quantum key exchange and authentication are not only feasible; they are faster than the classical baseline.

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