Published 2019 | Version v1

A PUF-based Root-of-Trust for resource-constrained IoT devices

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Abstract:

Ensuring cybersecurity resilience in far-edge IoT devices remains a significant challenge, as these systems often lack dedicated hardware security elements such as TPMs or secure enclaves. This paper introduces a cost-effective, SRAM PUFbased RoT architecture tailored for resource-constrained devices, enabling secure authentication and local attestation without relying on persistent key storage. Leveraging a commercially available SRAM module and a syndrome-based fuzzy extractor, the proposed framework enables robust and unforgeable key reconstruction, while a lightweight KDF binds the device identity to device-specific system properties (dynamic or static), thereby providing attestation capabilities in resource-constrained environments. A realistic telehealth monitoring scenario, involving an ECG device and a trusted gateway, demonstrates the feasibility of deploying the solution in real-world use cases. Extensive benchmarking results validate the low overhead of cryptographic operations and trustworthiness evidence extraction, highlighting the practicality of the proposed approach for scalable, resilient far-edge infrastructures. The presented solution contributes to the broader objective of reinforcing device-centric security foundations within the evolving landscape of critical IoT deployments.

 

E. -N. Sassalou et al., "A PUF-based Root-of-Trust for resource-constrained IoT devices," 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, 2025, pp. 824-831, doi: 10.1109/CSR64739.2025.11130114. keywords: {Runtime;Protocols;Telemedicine;Random access memory;Authentication;Benchmark testing;Physical unclonable function;Internet of Things;Synchronization;Resilience;Physically Unclonable Functions (PUFs);Root of Trust (RoT);Internet of Things (IoT);Secure Authentication;Device Attestation;Cyber Resilience;Resource-Constrained Devices;Far-Edge Computing;Fuzzy Extractor;Key Derivation Function (KDF)},

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