Motion Passcode Authentication via Sensor Data
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Solution Overview
Problem
Handheld device authentication methods, such as figure-based passwords, are insecure and inconvenient, especially in public environments where user privacy is compromised due to the need for predefined behaviors in traditional authentication processes.
Innovation Solution
A method utilizing motion-related sensor data from handheld devices, such as accelerometers and gyroscopes, to identify a motion passcode dynamically, eliminating the need for predefined behaviors and enhancing both convenience and security by associating time-stamped sensor data with meaningful labels and comparing motion patterns for authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If figure-based passwords are used for authentication, then user authentication can be performed, but user privacy is compromised and security is weakened due to easy observation by others in public environments
Solution Approach 1:
The patent replaces traditional visual-based authentication (mechanical system of displaying and typing visible passwords) with sensor-based motion detection system. Motion sensors detect device movement patterns to authenticate users, eliminating the need for visible password input and thereby protecting user privacy while maintaining authentication security.
Solution Approach 2:
The patent introduces motion sensor data as an intermediary between the user and the authentication system. Instead of directly observing password input, the system uses motion sensors to detect and analyze device handling patterns, creating an indirect authentication mechanism that protects user privacy in public environments.
2Reliability
If predefined behaviors are required for authentication, then authentication can be performed, but convenience is reduced and security is compromised
Solution Approach 1:
The patent implements dynamic authentication by continuously monitoring motion sensor data and adapting to user behavior patterns. Instead of requiring predefined static behaviors, the system learns and adapts to how users naturally handle their devices, making authentication more convenient while maintaining security through pattern recognition.
Solution Approach 2:
The system performs self-learning of user authentication patterns by automatically analyzing motion sensor data without requiring users to predefine specific behaviors. The authentication mechanism serves itself by adapting to natural user habits, eliminating the burden of predefined behavior setup while maintaining security.
3Productivity
If traditional authentication methods are used, then authentication process can be completed, but user experience is degraded due to security concerns in public settings
Solution Approach 1:
The patent replaces traditional visual-password-based authentication with motion-based authentication using sensor data. This substitution maintains authentication efficiency while significantly improving user experience in public settings by eliminating the need to type visible passwords that can be observed by others.
Data Source
AI summary
Embodiments of the present disclosure relate to a new approach for sensor-based authentication to enhance mobile security. In the computer-implemented method, motion related sensor data is obtained. A label of a behavior is determined wherein the behavior has a time information of the behavior. The label is associated with at least part of the motion related sensor data based on the time information of the behavior and the time information of the motion. At least one comparable motion is determined from the associated part of motion related sensor data. At least one motion passcode based on the determined comparable motion is identified.