AI-POWERED THREAT INTELLIGENCE FOR IoTCONNECTED ENERGY DEVICES: A DECENTRALIZED APPROACH TO CYBERSECURITY

ABSTRACT: More Internet of Things (IoT) devices connected to energy networks make operations better but create more ways for cyber attackers to get in. This research looks into how AI systems can secure IoTconnected energy devices through a decentralized security monitoring system. The suggested network framework helps IoT devices identify and separate themselves from threats to strengthen security while responding faster to minimize widespread cyber breaches. Our research demonstrates how connected IoT devices must share threat information to defend themselves while highlighting the risk of relying on one centralized control system. Our focus is to develop a system that lets energy networks find and respond to threats automatically in real time while building a solid defense for IoT-powered power systems.