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did:blox: A Secure and Efficient Decentralized Identifier Method for Scientific IoT Ecosystems Leveraging the Bloxberg Blockchain
Author(s) -
Andrej Gono,
Frantisek Darena,
David Prochazka
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3615478
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The proliferation of Internet of Things (IoT) devices in scientific research presents a critical challenge to data integrity and reproducibility. Ensuring the verifiable provenance of data from distributed, autonomous sensors is essential for academic trust. This paper introduces did:blox, a novel decentralized identity (DID) method engineered to create a secure and efficient identity layer for academic IoT data. The method utilizes a hybrid on/off-chain architecture, anchoring immutable cryptographic hashes on the permissioned, consortium-governed Bloxberg blockchain while storing full DID documents in off-chain storage. This approach is specifically designed to address the cost, performance, and governance requirements of the research community. We present a formal specification, system architecture, and a rigorous evaluation of a prototype implementation on the live Bloxberg mainnet. The performance of did:blox is benchmarked against a traditional, fully on-chain baseline did:eth. Empirical results demonstrate that did:blox reduces transaction gas costs for identity creation and updates by approximately 40%, improves throughput for concurrent device onboarding by 20%, and lowers latency for on-chain operations, at the cost of a minor, acceptable increase in resolution latency.

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