Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone

Abstract

Recently, the adoption of smart home technology has been on the rise and becoming a trend for home residents. The development of Internet-of-Things (IoT) technology drives the smart home authentication system with biometric systems such as facial recognition, fingerprint, and voice control techniques. In the context of homeowners, security is always the primary concern. However, conventional home security and the existing smart home security system have some limitations. These techniques use single-factor authentication, which provides limited protection for home security. Therefore, this project proposed a design for smart home multi-factor authentication using facial recognition and a one-time password sent to smartphones for a home security system. Rapid application development was the methodology for conducting this study. A usability evaluation suggested that the proposed smart home multi-factor authentication is acceptable, but some usability issues can be improved in the future.

Strategies for integrating a web-based learning environment based on authentic learning in distance learning for elementary school students

“…The interaction between students and teachers will be more accurate because students can deal directly with teachers. This is very effective because even though the number of students is vast, they seem to be treated individually by the teacher (Xin, Katuk, & Arif, 2021). Communication tools developed using web-based learning include discussion forums and chat rooms (Devine, Bourgault, & Schwartz, 2020;Khurniawan, Irmawaty, & Erda, 2022;Swaramarinda, Isa, Yusof, Kadir, & Rahman, 2022;Syafi'i, 2020;Tjilen et al, 2018).…”