SHIELD: Secure Hybrid Intelligence for Edge-Led Smart Home Defense
Keywords:
Collaborative Edge Intelligence, Smart Homes, Cluster Encrypted Federated Learning (CEFL), Internet of Things (IoT), Homomorphic Encryption (HE)Abstract
The current cloud-based smart home models face considerable challenges because they affect personal data security and real-time processing speed, and require dependable internet access. Data breaches and service interruptions are greater risks for processing setups with centralization. We implement a decentralized hybrid edge-cloud system that spreads computing operations between smart devices, edge servers, and cloud platforms to deliver instant decisions without sending confidential information. CEFL technology exists within our solution because it enables protected user privacy through encrypted model update sharing instead of exposing raw data. The proposed defense system integrates three security layers: homomorphic encryption, intrusion detection systems (IDS), and multi-factor authentication (MFA). Our framework surpasses previous security setups because experimental tests prove its enhanced network resilience achieves a Mean Time to Compromise the Network (MTTCN) of 12.08 seconds. The proposed approach establishes protection for smart home frameworks and delivers a framework that smart edge systems can use across various IoT spaces.