Reflexive Video Authentication Using Device-Based Liveness Challenges
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Solution Overview
Problem
Existing authentication methods for accessing secured resources are cumbersome, prone to video forgery, and require users to carry multiple identification factors, which are inconvenient and vulnerable to theft or loss.
Innovation Solution
A reflexive response-based authentication system that uses a cloud-based system to transmit visual or audio patterns to a user's device, capturing the user's reflexive response through image or audio data to verify identity, eliminating the need for traditional credentials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional authentication methods (identification cards, passwords, tokens) are used, then users can access secured resources, but the authentication process becomes cumbersome and requires users to carry multiple identification factors
Solution Approach 1:
The system uses the user's own device (smartphone, tablet, or computer) to perform authentication. The device's camera and display are leveraged to capture and present liveness indicators, eliminating the need for external tokens or multiple credentials. The user's device serves itself as both the authentication tool and the biometric sensor.
Solution Approach 2:
The patent replaces physical authentication mechanisms (cards, tokens, fingerprints) with a software-based system that uses visual and audio patterns displayed on the device screen, captured by the device's camera, and processed algorithmically to detect reflexive responses and liveness indicators.
2Reliability
If multiple identification factors are required for authentication, then security is improved, but users must memorize codes and carry multiple credentials which is inconvenient and vulnerable to theft or loss
Solution Approach 1:
The system uses a single device (smartphone, tablet, or computer) that performs multiple functions: displaying visual/audio patterns, capturing video/audio data, processing authentication algorithms, and communicating with the authentication server. This multi-functional approach eliminates the need for multiple separate credentials while maintaining security.
Solution Approach 2:
The system changes the parameter being measured from static credentials (passwords, physical tokens) to dynamic behavioral parameters (reflexive eye movements, facial expressions, voice responses) that are inherently harder to steal or lose but easier for the legitimate user to provide.
3Ease of operation
If video data is used for authentication, then the process can be simplified, but the risk of video forgery (deep fakes) increases
Solution Approach 1:
The system presents visual or audio patterns to the user and analyzes the user's reflexive responses (eye movements, facial expressions, voice) as feedback. This active interaction creates a two-way communication that is difficult to forge, as the system is not just passively receiving video but actively probing for genuine human responses.
Solution Approach 2:
The system preemptively counteracts video forgery by implementing liveness detection that specifically looks for signs of artificial or recorded video. The reflexive response analysis and challenge-response mechanisms are designed to detect and reject deep fake attempts before authentication can occur.
4Reliability
If reflexive response-based authentication is implemented, then video forgery risk is reduced and user convenience is improved, but the system complexity increases
Solution Approach 1:
The system uses an intermediary authentication server that handles the complex processing of video analysis, reflexive response detection, and liveness verification. The user's device only needs to display patterns and capture video, while the heavy computational burden of authentication is offloaded to the server, reducing the complexity burden on individual devices.
Data Source
AI summary
A remote signal-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource. The system and method are configured to cause a visual and/or audio pattern to be displayed in a remote computing device while collecting image data from the same device. The image data is evaluated to determine whether the appropriate response from the person is present. If the response is present, the system determines the image is authentic and can verify an identity of the person, and can further be configured to automatically grant the person access to one or more services, features, or information for which he or she is authorized.