Invisible Tattoo Token Detection for Deepfake-Resistant Video Authentication
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Solution Overview
Problem
Current authentication methods for accessing secured resources are often cumbersome, requiring multiple identification factors and increasing the risk of video forgery, particularly with the rise of deep fake technologies.
Innovation Solution
A method and system that utilizes a cloaked token, invisible in visible light but revealed in non-visible light, detected using an infrared or ultraviolet camera, to authenticate users by matching the detected token with a reference pattern, thereby verifying the authenticity of video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple identification factors are used for authentication, then security is improved, but user convenience deteriorates and authentication time increases
Solution Approach 1:
The patent extracts the authentication verification process from traditional multiple-factor authentication methods and relocates it to the video data itself. By embedding verification markers directly into the video stream and performing authentication on the video content rather than requiring separate identification factors, the system achieves high security while maintaining user convenience.
Solution Approach 2:
The patent introduces verification markers as an intermediary element between the user and the authentication system. These markers are embedded in the video data and serve as a mediator that enables automatic verification without requiring users to manually present multiple identification factors, thus resolving the contradiction between security and convenience.
2Ease of operation
If traditional authentication methods are used, then user resources are accessible, but vulnerability to video forgery increases
Solution Approach 1:
The patent applies preliminary anti-action by preemptively embedding verification markers into the video data before it can be forged or manipulated. This preventive measure ensures that even if video forgery techniques like deepfakes are used, the embedded markers will not match the expected verification pattern, thus protecting against authentication fraud while maintaining normal access procedures.
3Device complexity
If video authentication is implemented without verification markers, then implementation simplicity is maintained, but security against deepfakes deteriorates
Solution Approach 1:
The patent merges the authentication verification mechanism with the existing video data structure by embedding verification markers directly within the video stream. This integration allows the system to achieve deepfake resistance without requiring separate authentication systems or complex additional hardware, thus maintaining implementation simplicity while enhancing security.
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 approach enhances security by eliminating the need for multiple identification factors and significantly reduces the risk of video forgery, providing a more efficient and secure authentication process.
Implementation Method 1
receiving at a first time, at the authentication system, first image data captured by a camera of the first computing device, the camera being configured to capture light outside the visible spectrum
Implementation Method 2
the first cloaked token being hidden in visible light and are revealed in a particular band of nonvisible light
Data Source
AI summary
A tattoo detection-based method and system of performing an authentication of video of a person in order to authorize access to a secured resource is disclosed. The user provides image data in which they present a region of skin on which a pattern or code has been tattooed with ink that is invisible to the human eye. The system and method are configured to evaluate the image data to determine whether the cloaked token is present. If a cloaked token is present, the system determines the image is authentic and can verify an identity of the person. In some cases, the system 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.