iFace 1.1: A Proof-of-Concept of a Facial Authentication Based Digital ID for Smart Cities
Alakananda Mitra, Dan Bigioi, Saraju P. Mohanty, Peter Corcoran, Elias Kougianos
Abstract
“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 allows citizens to make easy and effective use of amenities provided by the smart city such as healthcare, transport, finance, and energy. In this paper, we propose a proof-of-concept of 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 before using facilities in the smart city. Authentication is performed on edge devices, making the process more secure as no data leaves the device during authentication. Facial data is stored at the cloud in a look up table format with an unidentifiable username. Our proposed solution achieved 97% accuracy in authentication with a False Rejection Ratio of 2% and False Acceptance Ratio of 3%.