IoT-ID: Deterministic Device Identity from Hybrid Network Fingerprinting

• Anna Letycia UFU
• Joner Assolin UNIPAMPA
• Diego Kreutz UNIPAMPA https://orcid.org/0000-0003-0830-0238
• Rodrigo Miani UFU https://orcid.org/0000-0002-8176-8040

DOI: https://doi.org/10.5753/sbrc_estendido.2026.23244

Resumo

This paper presents IoT-ID, a deterministic fingerprinting system for IoT device identification based on network traffic analysis. By combining passive and active measurements into a canonical multi-layer representation and applying cryptographic hashing, IoT-ID derives stable and reproducible device identities without relying on training data. The integration of application-layer metadata with transport-layer signatures resolves collisions between devices with indistinguishable network stacks, enabling consistent identification across heterogeneous environments. Results confirm the feasibility and effectiveness of deterministic fingerprinting, while highlighting limitations in non-IoT systems due to privacy mechanisms and software homogeneity.

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