Audio Feedback Video Authentication Against Deep Fakes
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Solution Overview
Problem
Current authentication methods for accessing secured resources are cumbersome, requiring multiple identification factors and being vulnerable to video forgery, particularly deep fake attacks, which increase security costs and inconvenience for users.
Innovation Solution
A cloud-based authentication system that uses audio tokens generated from a user's device, where a pre-designated audio signal is played and the reflected audio data is compared to a stored token to verify the user's identity, eliminating the need for traditional credentials and enhancing security against deep fake attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods using multiple identification factors are used, then security is improved, but user convenience and authentication speed deteriorate
Solution Approach 1:
The patent extracts the authentication verification process from traditional multi-factor authentication methods and replaces it with a biometric-based audio analysis system. The system captures audio signals from the user's device, extracts specific acoustic features (such as device handling patterns, background noise characteristics, and voice properties), and compares these against pre-stored biometric templates to verify identity, thereby eliminating the need for users to manually present multiple credentials
Solution Approach 2:
The patent replaces the mechanical/manual authentication process (where users physically present ID cards, keys, or remember passwords) with an automated acoustic analysis system. The system uses machine learning algorithms to analyze audio characteristics captured during video calls, automatically verifying user identity without requiring manual intervention or physical credentials
2Ease of operation
If video streaming authentication is used, then user convenience is improved, but vulnerability to deep fake attacks increases
Solution Approach 1:
The patent introduces audio signal analysis as an intermediary verification layer between the video streaming process and authentication decision. Instead of relying solely on visual verification, the system captures audio signals from the user's device, analyzes acoustic features (including device-specific noise patterns, microphone characteristics, and environmental sounds), and uses these audio biomarkers to verify the authenticity of the video feed, making it difficult for deep fake attacks to successfully impersonate the user
Solution Approach 2:
The system implements real-time audio feedback analysis during the video authentication process. The authentication server continuously monitors audio characteristics from the user's device, compares them against pre-stored biometric audio templates, and provides immediate verification feedback. This feedback mechanism allows the system to detect anomalies or inconsistencies in the audio signal that may indicate deep fake manipulation, thereby maintaining authentication reliability while preserving the convenience of video-based verification
3Reliability
If multiple identification credentials are required, then authentication security is improved, but authentication time and complexity increase
Solution Approach 1:
The patent implements a pre-enrollment process where the system captures and stores the user's biometric audio characteristics (device handling patterns, voice properties, background acoustic environment) before actual authentication occurs. During the authentication phase, the system simply compares the newly captured audio features against these pre-stored templates, significantly reducing authentication time while maintaining security through the use of unique biometric identifiers
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides a secure, efficient, and convenient authentication process by verifying user identity through audio feedback, reducing the need for multiple credentials and effectively combating video forgery, thereby enhancing account security and user experience.
Implementation Method 1
a first control signal including a first audio signal... playback of the first audio signal by a speaker... first audio data captured by a microphone
Data Source
AI summary
A remote audio signal-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource. An audio security token with a first set of features is generated and stored for each user. During subsequent sessions, the system and method are configured to cause a remote computing device to play a specific audio signal while collecting audio data from a microphone of the same device. The audio data is evaluated to determine if the same features are present as in the first set of features. If the features are 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.