Hybrid Blockchain Architectures for Securing Industrial IoT Data
Abstract Industrial Internet of Things (IIoT) has grown tremendously to transform industries with real-time sensing, predictive repairs, and decision-making with insights across manufacturing, logistics, energy, and healthcare. Adoption of massive networks of connected devices, however, creates serious concerns related to security, privacy, and trust. Traditional centralized security systems suffer from issues of single points of failure, low scalability, and operational costs that are too high. Blockchain technology has come to offer a tenable substitute with its inherent properties of decentralization, immutability, and openness of ledgers. In its single versions of either public, private, or consortium ones, however, blockchain schemes suffer from imperfections when reassailed for deployment in heterogeneous and resource-scarce IIoT space. The article creates hybrid blockchain architectures that bring together public and private blockchain advantages to solve these issues. Public chains ensure auditability and trust with external partners while private chains ensure efficiency and confidentiality of information for industrial processes. The article overviews existing techniques, describes key building blocks of architectures such as consensus models, smart contracts, and cross-chain messaging, and shows hybrid models' benefits in solving IIoT-specific requirements. Besides, it covers applied issues of interoperability, governance, and adoption, while future research directions in such areas of lightweight consensus, AI-aided anomaly detection, and standards for interoperability are represented. The conclusion is that hybrid blockchain is a strong direction to securing IIoT environments with scalability, privacy, and openness in balance. Keywords: Industrial IoT, Hybrid Blockchain, Data Security, Cross-Chain Communication, Smart Contracts
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-19
- DOI
- https://doi.org/10.5281/zenodo.17162015
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00