Biometric Authentication with Random Action Verification
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Solution Overview
Problem
Existing anatomical authentication systems, such as facial and voice recognition, are less than 100% accurate and can be easily compromised by pre-recorded videos/imagery/audio or learned passwords, necessitating an improvement in user verification methods.
Innovation Solution
Combining facial and/or voice recognition systems with random actions that require users to perform specific tasks within a set time, utilizing user training and adaptation to enhance authentication, and incorporating cloud-based services for randomization, thereby increasing security by ensuring the user's presence and identity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If facial and voice recognition systems are used for authentication, then user verification can be performed without passwords, but the system accuracy is less than 100% and can be compromised by pre-recorded videos/imagery/audio
Solution Approach 1:
The patent combines multiple authentication factors including facial recognition, voice recognition, and random action verification into a unified authentication system. This multi-factor approach merges the convenience of biometric recognition with the security of unpredictable behavioral verification, resolving the contradiction between ease of operation and reliability.
Solution Approach 2:
The system dynamically adapts the authentication process by introducing random actions that change with each authentication attempt. The random actions are selected from a pool of possible actions and adjusted based on system security requirements, making the authentication process both user-friendly and highly reliable against pre-recorded attacks.
2Reliability
If passwords are used for security systems, then access control can be implemented, but passwords can be easily compromised if a different user learns the code
Solution Approach 1:
The patent replaces the mechanical password system with a biometric-based authentication system enhanced by random actions. This substitution eliminates the need for users to memorize and manage passwords while providing more secure access control, as biometric traits cannot be easily shared or stolen like passwords.
3Adaptability or versatility
If pre-recorded video/imagery/audio is used to defeat recognition systems, then authentication can be bypassed, but this creates a security vulnerability
Solution Approach 1:
The system performs preliminary verification by requiring users to complete random actions that cannot be captured in advance. This preliminary challenge-response mechanism prevents pre-recorded attacks before they can succeed, as the random actions are generated and required at the moment of authentication, making pre-recording ineffective.
4Reliability
If random actions are required for authentication, then user presence can be confirmed, but the system complexity increases
Solution Approach 1:
The authentication system is designed to perform multiple functions using a unified framework: facial recognition, voice recognition, and random action verification all operate within the same system architecture. This multi-functionality approach manages complexity by consolidating diverse authentication methods into a single versatile platform rather than requiring separate systems for each method.
Data Source
Figure 1
AI summary
A system and method for authenticating a requester seeking service. In response to a received request, the system selects a random biometric behavior, which the requester is then asked to perform. Evaluation circuitry compares the behavioral response received from the requester to information stored in an authorized user database, and determines if the requested service should be provided.