Role of blockchain-enabled Secure Supply Chain management using IIoT for Anomaly detection in 6G

Abstract

Abstract In order to improve the safety and visibility of supply chain management within the context of 6G networks, this research looks into the complementary use of blockchain and the Industrial Internet of Things (IIoT). Securing supply chain procedures is becoming more important due to the changing technology landscape and the upcoming 6G. The inherent weaknesses of old supply chain systems and the necessity of implementing real-time anomaly detection procedures to counter new threats are the driving forces behind this. The goal of this connection is to take advantage of IIoT's data-driven capabilities for real-time monitoring and blockchain's immutability for secure transactions. The construction of an all-encompassing system architecture is required to do this, which includes integrating blockchain technology, implementing IIoT devices, and orchestrating smart contracts to guarantee the safety of supply chain transactions. In order to find out what's wrong with the 6G environment, the study uses an anomaly detection approach that combines data pretreatment, feature extraction, and training of a machine learning model. The outcomes demonstrate how well the suggested approach works to provide consistent and accurate real-time data, which improves anomaly detection in a 6G-enabled supply chain. Industry practitioners seeking resilient supply chain solutions in the era of 6G can benefit from the study's practical insights as well as from the theoretical contributions to the understanding of blockchain and IIoT integration.