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

Yen Xin Tok; Norliza Katuk; Ahmad Suki Che Mohamed Arif

doi:10.3991/ijim.v15i24.25393

Authors

Yen Xin Tok School of Computing, Universiti Utara Malaysia
Norliza Katuk School of Computing Universiti Utara Malaysia https://orcid.org/0000-0001-8805-2574
Ahmad Suki Che Mohamed Arif School of Computing Universiti Utara Malaysia

DOI:

https://doi.org/10.3991/ijim.v15i24.25393

Keywords:

security, biometric system, smart home, authentication, smartphones

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.

Author Biographies

Yen Xin Tok, School of Computing, Universiti Utara Malaysia

Tok Yen Xin is a final year student at Universiti Utara Malaysia (UUM), pursuing a Bachelor of Science with Honours (Information Technology) and majoring in Data Science. She is interested in artificial intelligence applications and had worked on a face recognition system for her final year project

Norliza Katuk, School of Computing Universiti Utara Malaysia

Norliza Katuk obtained her Doctoral degree in information technology from Massey University, New Zealand, in 2012. Currently, she is an associate professor at Universiti Utara Malaysia (email: k.norliza@uum.edu.my).

Ahmad Suki Che Mohamed Arif, School of Computing Universiti Utara Malaysia

Ahmad Suki Che Mohamed Arif received his PhD degree from Universiti Utara Malaysia. His research interests include video transmission over the Internet, network transport protocol, mobile computing, distributed systems, and network traffic analysis/engineering.