3D Device Movement Signature Authentication for Secure Transactions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing authentication methods using alphanumeric sequences are vulnerable to detection and replication, necessitating a more secure and theft-resistant means for user authentication in electronic transactions.
Innovation Solution
A device movement-based authentication technique that utilizes a user's unique signature move, captured by sensors, is compared against a previously set up device movement-based signature using machine learning to verify authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional alphanumeric authentication data is used, then ease of operation is improved, but security is worsened due to vulnerability to detection and replication
Solution Approach 1:
The patent replaces the mechanical/alphanumeric input system (typing PINs or passwords) with a motion-based authentication system. Sensors detect the user's physical movements and translate them into authentication data, substituting the manual keyboard entry mechanism with automatic motion capture and analysis.
Solution Approach 2:
The patent changes the parameter of authentication from static alphanumeric characters to dynamic motion parameters. Instead of entering fixed codes, the system captures movement characteristics such as acceleration, velocity, trajectory, and temporal patterns, transforming the authentication process from static input to dynamic behavioral analysis.
2Reliability
If motion-based authentication is implemented, then security is improved, but device complexity is worsened due to sensor requirements
Solution Approach 1:
The patent leverages the multi-functionality of modern mobile devices by utilizing existing sensors (accelerometers, gyroscopes, GPS) that were originally designed for other purposes like gaming, navigation, and fitness tracking. This allows the authentication system to repurpose existing hardware components rather than requiring dedicated authentication sensors.
Solution Approach 2:
The system uses the device's own sensors and processing capabilities to perform authentication independently. The mobile device captures its own motion data, processes the information locally through machine learning models, and generates authentication decisions without requiring external authentication hardware or complex centralized verification systems.
3Measurement precision
If motion patterns are captured and stored, then authentication accuracy is improved, but loss of information is worsened due to storage requirements
Solution Approach 1:
The patent extracts only the essential motion features and characteristics needed for authentication rather than storing complete motion datasets. The system identifies and stores key parameters such as movement trajectories, acceleration patterns, and temporal sequences, discarding redundant information while maintaining authentication accuracy.
Solution Approach 2:
The system performs preliminary processing of motion data during the enrollment phase, converting raw sensor data into compressed feature representations and templates. This preliminary action reduces the information content to essential authentication characteristics, minimizing storage requirements while preserving the ability to accurately verify future movements.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Systems and methods are disclosed for device movement-based authentication. One method comprises receiving contextual data from one or more sensors of a user device and determining a device movement pattern based on the received contextual data. The determined device movement pattern is compared with a device movement-based signature associated with a user of the user device. If the determined device movement pattern matches the device-movement based signature within a predetermined threshold, the user is authenticated for an electronic transaction. If the determined device movement pattern does not match the device-movement based signature, a notification indicating authentication failure is sent to the user device.