Workshop Description
Technical workshop for smart city IoT architects and municipal security teams. Covers PQC migration for constrained sensor networks: ML-KEM key exchange over DTLS 1.3 and CoAP, LoRaWAN and NB-IoT gateway upgrades, FIPS 203/204/205 algorithm selection for Cortex-M4 microcontrollers, and phased rollout strategies aligned with ETSI EN 303 645.
Smart city sensor networks present a PQC migration challenge that enterprise IT does not. Traffic sensors, smart meters, and environmental monitors run on Class 1 and Class 2 constrained devices (RFC 7228) with limited RAM, intermittent connectivity, and battery power budgets measured in years. ML-KEM-768 ciphertexts are roughly 1,088 bytes, which is manageable for a server but significant when multiplied across thousands of LoRaWAN uplinks per hour through a single gateway. The DTLS 1.3 handshake with ML-KEM adds round trips that can exceed NB-IoT uplink windows. SLH-DSA signatures for firmware authentication are 7,856 bytes at the 128-bit security level, requiring fragmented delivery to devices with 64 KB RAM. This workshop works through these constraints with real measurements on Cortex-M4 hardware, maps the ETSI EN 303 645 baseline security requirements to PQC readiness, and builds a phased migration plan that starts at gateways (where compute is less constrained) and sequences endpoint upgrades by data sensitivity and device capability.
What participants cover
- Protocol-level exposure mapping: DTLS 1.3, CoAP, LoRaWAN 1.1, NB-IoT, MQTT-SN, and LwM2M cryptographic dependencies across city sensor fleets
- FIPS 203/204/205 on constrained hardware: ML-KEM and ML-DSA performance benchmarks (RAM, cycles, power) on ARM Cortex-M4 and RISC-V platforms
- LoRaWAN and NB-IoT gateway migration: deploying PQC at network server and base station level before endpoint firmware reaches constrained devices
- Hybrid key exchange: X25519+ML-KEM in DTLS 1.3 for backward compatibility during phased rollout across mixed-generation sensor networks
- ETSI EN 303 645 quantum readiness: mapping IoT baseline security compliance to post-quantum requirements for municipal procurement
- Fleet segmentation and prioritisation: scheduling migration by data sensitivity (ANPR, metering, environmental) and device OTA capability