Mitigating Security Vulnerabilities in Cloud-Based Home Automation through Advanced Edge Computing: A Comprehensive Framework for Privacy Enhancement and Data Protection

With the soaring adoption of cloud-constructed home automation systems with CAGR of 8.5% from 2023 to 2030, security and privacy concerns have become critical considerations. This paper examines the security risks in cloud-based home automation systems and proposes leveraging edge computing to improve data security and privacy. We examine weaknesses including unapproved access, data leaks and highlight limitations of cloud-centric architectures. By integrating edge computing, we reduce data exposure, enable local processing, and improve control within the home environment. We explore how edge computing addresses specific attacks and offline operation during network disruptions. Challenges of incorporating edge computing into cloud-based home automation are discussed. This research contributes insights for achieving a more secure and privacy-enhanced home automation system.