Infusing k-means for securing IoT services in edge computing

Abstract

Accurate, timely, and safe administration of data from IoT devices is made possible by intelligent computing. As the number of IoT devices proliferates, more and more data will be collected, adding depth and breadth to the existing range of IoT services. Technology that incorporates entire systems on a single integrated circuit has improved to the point where more and more consumer electronics can support full-fledged operating systems. It is impractical to use a single computing model for the entire planet since doing so would cause severe network congestion and security holes. In order to solve this problem, we present a framework that utilizes both blockchain technology and edge computing to provide a lightweight data aggregation and secure data investigation solution for Internet of Things (IoT) applications without compromising data security or protection. We use a lightweight data aggregation process at the hub level to keep traffic flowing smoothly and quickly. In order to protect the safety of sensitive data and ensure the precision of IoT AI models, we also offer a multi-level fuzzy hashing process. Preliminary testing demonstrates the viability of the method presented here.