A Real-Time Machine Learning-Based Intrusion Detection and Prevention System for Decentralized Networks using Random Forest and Isolation Forest
Decentralized networks—spanning Internet-of-Things deployments, edge computing platforms and peer-to-peer systems—offer improved scalability, resilience and the elimination of single points of failure. At the same time, their distributed structure makes continuous monitoring and timely intrusion response substantially...