Quantum-Safe Cryptography for Constrained IoT Devices
The challenge
Clients required a migration path to post-quantum security but were severely constrained by MCU memory, compute, and energy budgets. The goal was to create a hybrid key exchange that provides PQC (Post - Quantum Cryptography) fallback while preserving existing classical trust models.
What we built
EurthTech delivered a feasibility study and prototype integrating hybrid PQC patterns (ECDH + Kyber-like KEM) into microcontroller firmware (STM32L4/nRF52840-class). The prototype used a hybrid handshake where the classical ECDH provides immediate connectivity and the PQC component re-keys asynchronously. This demonstrates a vital Edge AI embedded system capability for defense-grade security.
How it works
The embedded systems development focused on efficiency: bench-marking algorithms against latency, RAM footprint, and energy consumption. The firmware separated provisioning-time heavy operations (full PQC exchange) from lightweight runtime operations. We implemented constant-time routines, used hardware-accelerated AES where available, and secured key storage via secure elements or authenticated external flash regions, showcasing the advanced competency of our team.
Results
Benchmarks validated feasible PQC inclusion for session rekey operations with latency in the 100s of milliseconds on mid - range MCUs. The project delivered a feasibility report and a clear roadmap for migration. By implementing hybrid schemes, we reduced the strategic risk of future quantum decryption for recorded traffic while enabling existing infrastructure continuity.
Scalability & GIS Context: Hybrid schemes buy time for the client’s migration plan, including phased adoption and secure-element upgrades on next-gen hardware. Monitoring crypto health and managing global key rotation policies for a distributed fleet are core geospatial engineering services requirements. This security layer is foundational for all high-assurance Predictive maintenance AI IoT platforms.