Secure Authentication With Confidence Scoring for Deepfake Detection
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Solution Overview
Problem
Conventional multifactor authentication methods are vulnerable to quantum-computing-based attacks, and deepfake technologies pose significant threats by creating hyper-realistic simulations that deceive users, leading to increased risks of fraud and unauthorized access to critical systems.
Innovation Solution
A system and method for authentication using non-repudiation to detect deepfakes, employing post-quantum secure zero-knowledge proofs and blockchain technology to verify user identities through multiple factors, including audio and video signatures, while providing a confidence level indication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional multifactor authentication methods are used, then ease of operation is maintained, but security reliability deteriorates due to vulnerability to quantum-computing-based attacks
Solution Approach 1:
The patent introduces a confidence indicator as an intermediary element that mediates between the authentication system and the user. This indicator provides visual feedback about the reliability of the authenticated party without requiring users to understand complex cryptographic processes, thus maintaining ease of operation while enhancing security reliability through quantum-resistant authentication methods
Solution Approach 2:
The patent replaces conventional cryptographic mechanisms with post-quantum cryptographic mechanisms. This substitution maintains the operational interface users are familiar with while underlying the system with quantum-resistant cryptographic protocols, thereby improving security reliability without significantly impacting ease of operation
2Reliability
If deepfake detection mechanisms are implemented, then security reliability improves, but device complexity increases
Solution Approach 1:
The confidence indicator serves as an intermediary that aggregates complex deepfake detection results into a simple visual representation. This allows the system to implement sophisticated detection mechanisms while presenting a simplified interface to users, thereby improving security reliability without proportionally increasing perceived device complexity
Solution Approach 2:
The patent creates a visual copy or representation of the authentication confidence level through the confidence indicator. This visual copy simplifies the presentation of complex authentication outcomes, allowing users to quickly assess security reliability without processing the underlying complexity of deepfake detection algorithms
3Reliability
If post-quantum secure authentication is implemented, then security reliability improves, but loss of time increases due to additional verification steps
Solution Approach 1:
The patent performs preliminary confidence assessments and generates confidence indicators in advance of actual authentication decisions. By pre-processing authentication data and preparing confidence indicators, the system reduces the time required during critical authentication moments while maintaining high security reliability through post-quantum cryptographic methods
Data Source
AI summary
A system for authentication includes a validation system and an agent configured to communicate a first credential indicating an identification to the validation system and communicate a second credential indicating the identification to a verification service. The validation system includes a database configured to store authorized user data and a portal configured to provide selection of the verification service from a plurality of verification services. The validation system is configured to compare the first credential to the authorized user data, determine a confidence level of validity of the identification based on the comparison of the first credential to the authorized user data, receive a verification of the second credential from the verification service, and modify the confidence level based on the verification.