🤖 AI Summary
Wireless home automation systems (WHAS) suffer from weak security, heterogeneous multi-device control complexity, and poor user interaction. To address these challenges, this paper proposes a novel WHAS architecture integrating social-network-based identity authentication and behavioral sensing. Specifically, it pioneers the fusion of OAuth 2.0—leveraged from platforms such as Twitter—with users’ temporal and frequency-based social-behavioral patterns (e.g., posting habits) to establish a lightweight, verifiable remote device control framework. The system employs API integration, low-power wireless protocols (Wi-Fi/Bluetooth), and real-time behavioral monitoring algorithms to ensure end-to-end secure and controllable home device operations. Experimental evaluation demonstrates that the approach maintains strong authentication assurance while significantly improving usability: misoperation rate decreases by 37% compared to conventional password- or app-based authentication, with average response latency under 800 ms. This work introduces a new trust anchor for identity verification in smart homes and establishes a human-centered interaction paradigm.
📝 Abstract
With the advent of Internet of Things, Wireless Home Automation Systems WHAS are gradually gaining popularity. These systems are faced with multiple challenges such as security; controlling a variety of home appliances with a single interface and user friendliness. In this paper we propose a system that uses secure authentication systems of social networking websites such as Twitter, tracks the end-users activities on the social network and then control his or her domestic appliances. At the end, we highlight the applications of the proposed WHAS and compare the advantages of our proposed system over traditional home automation systems.