Cross-Layer Blockchain-Driven Telemetry for Trustworthy Web and IoT Architectures

There’s a growing interest in combining blockchain and AI for secure, trustworthy IoT systems (see Kadhum & Al-Salih, 2024; Ruzbahani, 2024; Jabor et al., 2025), and in in-band telemetry (Wehner et al., 2024). This idea fuses these strands: design a telemetry framework where network performance and security events at different layers (transport, application, device) are logged to an immutable blockchain. Using smart contracts, stakeholders can access analytics or trigger automated responses (e.g., isolation of compromised nodes, root-cause analysis) while preserving privacy via cryptographic techniques (Garcia et al., 2024). Unlike current siloed monitoring, this approach provides an auditable, cross-layer, cross-domain view, vital for federated settings like IIoT, multi-cloud, and smart cities. The novelty lies in making telemetry itself a distributed, trustless “service,” encouraging new forms of SLA, compliance, and adaptive optimization in complex web/IoT environments.

References:

1. Secure in-Band Network Telemetry for the SCION Internet Architecture on Tofino. Robin Wehner, Tony John, Lars Schulz, David Hausheer (2024). IEEE International Conference on Network Protocols.
2. Leveraging Blockchain for IoT Network Security Enhancement: A Comprehensive Survey. Ayat N. Kadhum, A. Al-Salih (2024). 2024 International Jordanian Cybersecurity Conference (IJCC).
3. AI-Protected Blockchain-based IoT environments: Harnessing the Future of Network Security and Privacy. Ali Mohammadi Ruzbahani (2024). arXiv.org.
4. Applying Blockchain Technology to Memory Management and Data Analysis Using Artificial Intelligence and the Internet of Things. Aqeel Jabor, Maytham S Jabor, Saif Alkhniab (2025). IEEE International Conference on Circuits and Systems for Communications.
5. A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches. R. D. Garcia, Gowri Ramachandran, Kealan Dunnett, Raja Jurdak, C. Ranieri, Bhaskar Krishnamachari, Jó Ueyama (2024). arXiv.org.