Establishing a Secure and Reliable AI-Driven Framework for Operations in the Industrial Internet of Things (SCM) Using Blockchain and DL Technology
Industrial activities are now more efficient and connected thanks to the increasing integration of AI and IIoT. The marriage of these two technologies created this new century. However, dependability and security remain major obstacles. This paper presents a detailed technique to handle these problems in IIoT supply chain management (SCM) utilising Blockchain and Deep Learning. The proposed framework gives AI-powered processes a reliable and safe environment, ensuring supply chain correctness, openness, and efficiency. Blockchain technology provides a decentralised, impermeable ledger for data security and integrity. SCM requires openness and trust, thus this is crucial. DL algorithms boost the framework's AI capabilities, enabling real-time data processing, predictive maintenance, and adaptive decisionmaking [37]. Together, these technologies support safe and efficient industrial processes.
Authors
- Lokesh Malviya (ORCID: https://orcid.org/0000-0002-3096-1852)
- Preeti Narooka
- V. K. Misra (ORCID: https://orcid.org/0000-0002-0191-6403)
- Rakesh Kumar Yadav (ORCID: https://orcid.org/0000-0002-0151-4981)
- Fateh Bahadur Kunwar
- Hitendra Singh
Institutions
- University of Lucknow (IN)
- Machine Intelligence Research Institute (US)
- Shri Ramswaroop Memorial University (IN)
- Barkatullah University (IN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/cisct62494.2024.11134253
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00