An Intelligent Framework for Smart Home Security and Automation

Abstract

Smart home automation, security, and energy efficiency have all been transformed by the quick adoption of the Internet of Things (IoT). However, there are a number of issues with current smart home solutions, such as weak AI-driven automation, limited interoperability, dependence on third-party cloud services, and cybersecurity concerns. Through a hybrid IoT architecture that combines edge and cloud computing, end- to-end encryption, biometric authentication, and decentralized data storage, this research suggests a full smart home security and automation application that overcomes these constraints. Moreover, Predictive security measures and AI-driven automation are being used to improve threat detection and optimize energy use. Multi-platform compatibility, enhanced robustness, and increased user control over data privacy are all guaranteed by the suggested framework. This study supports the goal of sustainable and cyber-resilient smart cities by filling in the gaps and advancing the creation of a safe, intelligent, and scalable smart home ecosystem.