iFace 1.1: A Proof-of-Concept of a Facial Authentication Based Digital ID for Smart Cities

"Smart Cities" are a viable option to various issues caused by accelerated urban growth. To make smart cities a reality, smart citizens need to be connected to the "Smart City" through a digital ID. A digital ID enables citizens to utilize smart city facilities such as healthcare...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.71791-71804
Main Authors: Mitra, Alakananda, Bigioi, Dan, Mohanty, Saraju P., Corcoran, Peter, Kougianos, Elias
Format: Article
Language:English
Subjects:
Authentication
Computer crime
convolutional neural network
Cybersecurity
deepfake
Deepfakes
digital ID
Face recognition
facial authentication system
Internet of Things (IoT)
lookup table
Lookup tables
Medical services
presentation attack
Regulation
Smart cities
Smart city
triplet loss
Urban development
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Summary:"Smart Cities" are a viable option to various issues caused by accelerated urban growth. To make smart cities a reality, smart citizens need to be connected to the "Smart City" through a digital ID. A digital ID enables citizens to utilize smart city facilities such as healthcare, transportation, finance, and energy with ease and efficiency. In this paper, we propose a proof-of-concept of a facial authentication-based end-to-end digital ID system for a smart city. Facial authentication systems are prone to various biometric template attacks and cyber security attacks. Our proposed system is designed to detect the first type of attack, especially deepfake and presentation attacks. Users are authenticated each time they use facilities in a smart city. Facial data is stored in the cloud in a lookup table format with an unidentifiable username. The process is very secure as no data leaves the device during authentication. Our proposed solution achieved 97% accuracy in authentication with a False Rejection Ratio of 2% and False Acceptance Ratio of 3%.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3187686