The provided
system and methods describe a Multi-factor
Authentication (MFA) kiosk that utilizes various sensors to capture biometric, behavioral, and physiological data for
authentication. The kiosk includes a
user interface, a set of sensors, and services such as kiosk management, rules configuration, sensor management, and an
authentication service. The sensors, both integrated and external, gather diverse data, including facial recognition,
fingerprint scans, voice recognition,
gait analysis, and more, constructing a physical profile for
authentication. The
system incorporates a rules service for configuring authentication policies and a sensor management service to optimize sensor performance.
Authentication service uses a scoring model, potentially a
deep learning algorithm like an
autoencoder, to generate an authentication
score based on inputs from sensors, rules, and previous attempts. Security measures include
encryption, isolation of components, and compliance with data protection regulations. A plurality of MFA kiosks may form an authentication network.