Abstract: Systems and methods for computing device authentication can involve template matching with an authentication filter. Authentication filters can be generated by using an authentication model to determine or generate templates for authenticated classes. For example, simulated signal data sets can be input into the authentication model until an authenticated class classification is output. The successful simulated signal data set may then be used to generate or update an authentication filter that uses the template for template matching authentication classification.

Abstract: A network authentication system can be configured for sampling a plurality of signal samples from a device on a network, providing the plurality of signal samples to a first machine-learned model that is configured to determine a device fingerprint based at least in part on the plurality of signal samples, and providing the device fingerprint to a second machine-learned model that is configured to classify the device based at least in part on the device fingerprint.

Abstract: A network authentication system can be configured for sampling a plurality of signal samples from a device on a network, providing the plurality of signal samples to a first machine-learned model that is configured to determine a device fingerprint based at least in part on the plurality of signal samples, and providing the device fingerprint to a second machine-learned model that is configured to classify the device based at least in part on the device fingerprint.