Wearable Finger Movement Authentication for Shoulder Surfing Protection
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Solution Overview
Problem
Existing systems are vulnerable to malicious data capture through techniques like shoulder surfing and tampering with authentication devices, such as POS machines, which compromises user privacy and security.
Innovation Solution
A wearable device with sensors that detect finger movements for authentication, a separate user input device for POS systems, and a PIN entry device with random digit layouts, along with processing systems that analyze sensor data to detect security risks and disable applications when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication devices (POS machines, PIN pads) are used, then ease of operation is maintained, but security vulnerability increases due to shoulder surfing and tampering
Solution Approach 1:
The patent replaces traditional mechanical authentication devices (physical PIN pads, POS machines) with a mobile device-based authentication system that uses software-generated virtual PIN pads and sensor-based biometric authentication. This substitution eliminates physical tampering points and prevents shoulder surfing by displaying authentication interfaces only on the user's personal device.
Solution Approach 2:
The patent introduces a mobile device as an intermediary between the user and the authentication system. The mobile device generates virtual PIN pads, captures biometric data through sensors, and transmits authentication information securely to the target system, thereby isolating the user from direct exposure to potentially compromised authentication terminals.
2Measurement precision
If sensors and classifiers are added to interpret sensor data for authentication, then authentication precision improves, but device complexity increases
Solution Approach 1:
The patent leverages the mobile device's existing multi-functional capabilities (camera, accelerometer, gyroscope, processor) to perform biometric authentication. Rather than adding dedicated authentication hardware, the system repurposes sensors already present in smartphones and tablets for their primary function, thereby achieving high authentication precision without significantly increasing device complexity.
Solution Approach 2:
The mobile device uses its own built-in sensors and processing power to perform self-authentication. The device's camera captures images, accelerometers detect gestures, and processors analyze the data locally to generate authentication credentials, eliminating the need for external authentication hardware and reducing overall system complexity.
Data Source
AI summary
Disclosed are various computer implemented devices, methods and readable mediums for security and authentication. In one aspect there is provided a wearable device for authenticating a user, including: one or more sensors for obtaining sensor data related to movement of fingers of the user wearing the wearable device to provide authentication data; and one or more processors configured to: receive the sensor data; interpret the sensor data using one or more classifiers to determine the authentication data; and use the authentication data to access a service.