Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone
Dublin Core
Title
Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone
Subject
security
biometric system
smart home
authentication
smartphones
Description
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.
Creator
Tok, Yen Xin
Katuk, Norliza
Che Mohamed Arif, Ahmad Suki
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 32-48
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-12-21
Rights
Copyright (c) 2021 Yen Xin Tok, Norliza Katuk, Ahmad Suki Che Mohamed Arif
https://creativecommons.org/licenses/by/4.0
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Yen Tok Xin, Norliza Katuk and Che Mohamed Arif, Ahmad Suki, Smart Home Multi-Factor Authentication Using Face Recognition and One-Time Password on Smartphone, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 7, 2024, https://igi.indrastra.com/items/show/2113