Private Blockchain-Based Edge IoT Platform for Secure Large Language Model Services
Marc Jayson Baucas, Petros Spachos, Stefano Gregori · 2025
IoT networks have become widespread in different technological industries due to the development of 6G networks. In this paradigm shift, industries like healthcare and autonomous vehicle research have incorporated Large Language Models (LLMs) into their applications and services. This combination has improved the effectiveness of Internet of Thing (IoT)-driven applications requiring intelligent interactions between humans and machines, bridging these wireless services to real-time intractability. However, as the IoT network grows, scalability and security issues arise. We present a private blockchain-based edge IoT platform to address these concerns in IoT-based LLM services. We evaluated our design's feasibility by testing its responsiveness and analyzing its security contributions. The results show the potential of our platform to improve the scalability of the IoT network through edge computing and reinforce its security through the private blockchain.