Keyboard Vibration Proximity Detection for Frictionless Authentication
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Solution Overview
Problem
Existing authentication methods lack an effective way to enhance signal integrity and user authentication, particularly in providing increased protection against misuse or malicious intrusion, especially in scenarios requiring physical and logical access to confidential data or systems.
Innovation Solution
A method and system that capture a sequence of keystrokes and corresponding vibrations on a keyboard, using a sensor device associated with a user or location, to verify proximity and authenticate the user by comparing the keystroke sequence with the vibration sequence, thereby providing an additional authentication factor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (password, PIN, biometric) are used, then user authentication is achieved, but signal integrity and protection against malicious intrusion are insufficient
Solution Approach 1:
The patent introduces an intermediary physical measurement (vibration detection via accelerometer) that mediates between the user's typing action and the authentication system. The sensor device detects vibrations caused by keystrokes and uses this physical evidence to verify proximity and authenticate the user, adding a layer of security that traditional digital authentication methods lack.
Solution Approach 2:
The patent replaces traditional mechanical/authentication systems with a sensor-based detection system. Instead of relying solely on digital credentials (passwords, PINs), the system uses an accelerometer to detect mechanical vibrations from keyboard typing, converting physical actions into digital authentication signals.
2Reliability
If multiple authentication factors are combined, then security is enhanced, but authentication complexity and user friction increase
Solution Approach 1:
The sensor device automatically detects vibrations from the user's typing without requiring additional user actions. The system passively captures the physical evidence of keystrokes and processes it for authentication, eliminating the need for users to manually provide multiple authentication factors and reducing authentication friction.
Solution Approach 2:
The system performs preliminary authentication by detecting vibrations during the natural typing process before the user completes the authentication sequence. This preliminary detection of physical typing patterns allows the system to verify proximity and begin authentication early in the interaction.
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 authentication security by confirming user proximity, potentially combining with other authentication factors to achieve a frictionless and secure authentication process, increasing the confidence score through behaviometrics and multi-factor authentication.
Implementation Method 1
capturing, with a sensor device which is associated with a user and/or a location and which is in contact with the support structure in proximity to the keyboard, a sequence of vibrations of the support structure in response to the person typing on the keyboard
Data Source
AI summary
The present disclosure relates to a concept of proximity detection. A sequence of keystrokes is captured when a person types on a keyboard placed on a support structure. A sequence of vibrations of the support structure in response to typing on the keyboard is captured with a sensor device associated with a user or a location and in contact with the support structure in proximity to the keyboard. The proximity between the person and the sensor device is checked based on a comparison of the captured sequence of keystrokes with the captured sequence of vibrations.