Movement-Based Authentication With 3D Signatures Against Credential Theft
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Solution Overview
Problem
Existing authentication methods in virtual and web environments are vulnerable to theft and replication due to the ease of detecting or stealing alphanumeric-based authentication data, necessitating a more secure and theft-resistant method.
Innovation Solution
A movement-based signature authentication system that utilizes a user's unique electronic signature generated from three-dimensional movement patterns, captured by sensors, and compared to stored patterns for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If alphanumeric authentication data is used for transactions, then ease of operation is improved, but security is worsened due to ease of detection and replication
Solution Approach 1:
The patent replaces the mechanical/keyboard-based alphanumeric input system with a motion capture system that tracks three-dimensional body movements. This substitution transforms the authentication method from entering characters on a keyboard to performing physical movements that are captured by sensors, thereby maintaining ease of operation while dramatically improving security against theft and replication.
Solution Approach 2:
The patent transitions from two-dimensional alphanumeric characters entered on a keyboard to three-dimensional movement patterns captured in spatial coordinates. By adding the dimensional aspect of physical movement in three-dimensional space, the system creates authentication data that is much harder to replicate while remaining intuitive for users to perform.
2Reliability
If motion capture sensors are implemented for authentication, then security is improved, but device complexity is worsened
Solution Approach 1:
The patent employs motion capture sensors that serve multiple functions: they capture authentication movements, verify user identity, and can potentially track user behavior patterns. This multi-functionality reduces the need for separate authentication devices, thereby managing complexity while maintaining enhanced security.
Solution Approach 2:
The system creates a digital copy or model of the user's movement pattern in three-dimensional space, which is then stored and compared for authentication. This copying approach allows the system to verify identity without requiring complex real-time analysis of physical presence, simplifying the overall system architecture while maintaining security.
Data Source
AI summary
Systems and methods are disclosed for movement-based signature authentication. One method comprises determining one or more features associated with a user based on one or more two-dimensional images and determining one or more body points associated with the user based on one or more three-dimensional images. A movement pattern of each body point of the user is determined based on the one or more three-dimensional images. The one or more determined features are compared to corresponding one or more stored features associated with the user. If the one or more detected features match the one or more stored features, the one or more determined movement patterns are compared to a unique electronic signature associated with the user. Upon determining that the one or more determined movement patterns match the unique electronic signature, the user is authenticated for electronic transaction.