Emotion Mimicry Authentication for Spoofing Prevention
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Solution Overview
Problem
Conventional face authentication methods are vulnerable to spoofing attempts using printed photos, videos, and 3D masks, as they struggle to differentiate between high-resolution images and real individuals, and may require expensive equipment to capture 3D depth information.
Innovation Solution
A method that detects facial features associated with an authorized user and requests the user to mimic specific emotions, authenticating them based on the correspondence between their facial expressions and accepted expressions associated with those emotions, using sensors and output devices to provide prompts and analyze facial expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional face authentication methods are used, then ease of operation is improved, but security is worsened due to vulnerability to spoofing attempts
Solution Approach 1:
The system performs preliminary detection of facial features and liveness indicators before completing authentication. Sensors capture facial characteristics and analyze them for spoofing indicators in advance, only proceeding with authentication if preliminary checks pass, thereby preventing spoofing attempts before they can compromise security
Solution Approach 2:
The system introduces an intermediary liveness detection mechanism between the user and the authentication decision. This intermediary layer analyzes facial features, micro-expressions, and physiological indicators to verify authenticity, acting as a mediator that blocks spoofing attempts while allowing genuine users to authenticate smoothly
2Reliability
If 3D depth information is captured to prevent spoofing, then security is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential liveness indicators from facial data without requiring full 3D depth mapping. By taking out and analyzing specific critical features such as micro-expressions, blood flow patterns, and facial muscle movements, the system achieves spoofing prevention without the complexity of comprehensive 3D sensing equipment
Solution Approach 2:
The system uses inexpensive sensors and analysis methods that capture transient facial characteristics rather than requiring expensive, complex 3D depth sensors. By utilizing readily available sensors to detect temporary physiological indicators, the system achieves security enhancement without significant device complexity or cost increase
Data Source
AI summary
One embodiment provides a method, including: detecting, from a user and using a sensor operatively coupled to an information handling device, for facial features associated with an authorized user; requesting, using a prompt provided by an output device operatively coupled to an information handling device, the user to mimic at least one emotion; detecting, responsive to the requesting, at least one facial expression provided by the user; and authenticating the user responsive to determining that: the at least one facial expression corresponds to at least one accepted facial expression associated with the at least one emotion and the at least one facial expression comprises the facial features. Other aspects are described and claimed.