Mobile Authentication Using Multi-Sensor Liveness Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional user authentication methods for mobile devices face challenges such as high intrusiveness, high costs, low authentication success rates, and vulnerability to fraudulent attacks, particularly with 3D-depth sensors and in-display fingerprint sensors, which do not effectively verify user liveness.
Innovation Solution
A method utilizing existing sensors like 2D and 3D cameras and audio-input devices to authenticate users by comparing physical and liveness characteristics, enabling multiple levels of access based on matching representations, ensuring reliable and secure authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a 3D-depth sensor is used for user authentication, then user intrusiveness is reduced, but device cost and physical size increase
Solution Approach 1:
The patent applies multi-functionality by using existing sensors (2D camera, 3D camera, audio-input device) for multiple purposes: both their original functions and authentication functions. This eliminates the need for dedicated expensive 3D-depth sensors while maintaining low user intrusiveness through familiar interaction modes.
Solution Approach 2:
The patent creates a digital representation (copy) of the user's physical characteristics and liveness characteristics from existing sensor data, comparing it against stored templates. This copying approach enables authentication without requiring specialized hardware, reducing device complexity while maintaining ease of operation.
2Device complexity
If traditional sensors are used for authentication, then device cost is reduced, but authentication security and fraud detection capability worsen
Solution Approach 1:
The patent segments the authentication process into two distinct verification stages: physical characteristic verification (identity) and liveness characteristic verification (aliveness). This segmentation uses existing low-cost sensors to perform both checks, achieving high security without requiring expensive specialized hardware for each function.
Solution Approach 2:
The patent changes the parameters being measured from simple physical presence to multiple independent characteristics (physical features + liveness indicators). By measuring different parameters simultaneously using existing sensors, the system achieves enhanced security while maintaining cost-effectiveness.
3Ease of operation
If fingerprint sensors are used for authentication, then user intrusiveness is reduced, but authentication success rate and reliability worsen
Solution Approach 1:
The patent transitions from static fingerprint verification to dynamic multi-characteristic verification including liveness detection. This dynamic approach using existing sensors improves authentication success rate by verifying both identity and aliveness, while maintaining low user intrusiveness through natural interaction.
Solution Approach 2:
The patent implements feedback by comparing real-time sensor measurements against stored reference data for both physical and liveness characteristics. This feedback mechanism using existing sensors improves authentication reliability by providing multiple verification points while keeping the interface simple and non-intrusive.
4Device complexity
If iris sensors or 2D sensors are used for authentication, then device cost is reduced, but vulnerability to fraudulent attacks increases
Solution Approach 1:
The patent applies preliminary anti-action by proactively detecting liveness characteristics before authentication can be compromised. Using existing sensors, the system preemptively identifies fraudulent attempts by verifying biological aliveness, preventing fraud before it can succeed while maintaining cost-effectiveness.
Solution Approach 2:
The patent combines multiple types of sensor data (2D image, 3D data, audio) to create a composite authentication verification. This composite approach using existing sensors resists fraudulent attacks better than any single sensor type while maintaining cost-effectiveness through multi-source verification.
Data Source
AI summary
A computing device includes a system that authenticates a user of the computing device. A first sensor obtains a first representation of a physical characteristic of the user that is compared to a registered representation of the physical characteristic of the user. A first level of access to the computing device is enabled based on the first representation of the physical characteristic matching the second representation of the physical characteristic. A second sensor obtains a first representation of a liveness characteristic of the user that indicates that the user is alive. The first representation of the liveness characteristic is compared to a registered representation of the liveness characteristic of the user. A second level of access to the computing device is enabled based on the first representation of the liveness characteristic of the user matching the second representation of the liveness characteristic of the user.