Mobile Authentication Using Sensor Fusion
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Solution Overview
Problem
Current authentication techniques for mobile devices face security concerns and high implementation costs, with key code-based methods being vulnerable and biometric methods requiring additional sensors that drain battery life.
Innovation Solution
A system using existing motion and audio sensors in mobile devices to authenticate users through a touch-based interface, analyzing positional data, vibration patterns, and audio data, with machine learning classifiers to determine user consistency and permit access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is used to improve security, then authentication security is improved, but device cost increases due to additional sensors
Solution Approach 1:
The patent applies multi-functionality by utilizing existing sensors (accelerometer, gyroscope, microphone) that serve multiple purposes - both for motion detection and for authentication purposes. The accelerometer and gyroscope, originally intended for motion sensing, are also employed to detect authentication code input patterns, eliminating the need for dedicated biometric sensors.
Solution Approach 2:
The system performs self-service authentication by using the device's own existing sensors to authenticate user identity through motion patterns and audio characteristics. The authentication process leverages the device's intrinsic capabilities (motion sensors, microphone) without requiring external or additional specialized hardware.
2Reliability
If additional sensors are added for biometric authentication to improve security, then authentication security is improved, but battery life decreases due to additional processing power requirements
Solution Approach 1:
The patent applies multi-functionality by utilizing existing sensors (accelerometer, gyroscope, microphone) that serve multiple purposes - both for motion detection and for authentication purposes. The accelerometer and gyroscope, originally intended for motion sensing, are also employed to detect authentication code input patterns, eliminating the need for dedicated biometric sensors.
Solution Approach 2:
The system performs self-service authentication by using the device's own existing sensors to authenticate user identity through motion patterns and audio characteristics. The authentication process leverages the device's intrinsic capabilities (motion sensors, microphone) without requiring external or additional specialized hardware.
3Ease of manufacture
If key code based authentication is used to simplify implementation, then ease of manufacture is improved, but security deteriorates due to vulnerability to overseers and memorization by imposters
Solution Approach 1:
The patent replaces the traditional mechanical/key-based authentication system with a sensor-based authentication system. Instead of relying on codes that can be memorized or observed, the system uses motion sensors and microphones to detect unique physical characteristics of the user's interaction pattern, substituting a more secure physical-based authentication mechanism.
Solution Approach 2:
The system changes the authentication parameter from static key codes to dynamic motion patterns and audio characteristics. By analyzing variables such as tap position, velocity, acceleration, and audio signatures, the system creates a more secure authentication mechanism that is difficult to replicate without physical presence.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances security while reducing costs by leveraging existing sensors, providing efficient and secure user authentication without the need for additional hardware, thus improving battery life and security against unauthorized access.
Implementation Method 1
The system may detect, by one or more of the motion sensors, first vibration data representing one or more vibrations experienced by the mobile electronic device that are associated with the sequence of taps
Implementation Method 2
The system detects, by the audio sensor, audio data that occurs in proximity to the mobile electronic device
Data Source
AI summary
A system for secure user authentication of a mobile electronic device includes a touch-based user interface of the mobile electronic device, a processor, and a computer-readable storage medium. The system presents a graphical user interface comprising a target location represented by a graphical indication, and receives an authentication code comprising a sequence of taps. The system determines input positional data associated with the authentication code that indicates a location on the touch-based user interface where the sequence of taps is received. The system determines whether to permit a user of the mobile electronic device to access a function of the mobile electronic device based at least in part on whether the input positional data is consistent with previous input received from the user of the mobile electronic device.