Eye Gaze Authentication via Dynamic Image Collage Randomization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional password-based authentication methods are weak and vulnerable to malicious activities, and can be difficult for users to remember, leading to frustration and security issues, especially in systems requiring higher levels of security.
Innovation Solution
User authentication is achieved through eye gaze tracking, where a user registers and selects a sequence of images displayed in a randomized collage, with a sensor detecting the user's gaze to verify the correct sequence, preventing unauthorized access by changing image locations and sizes each time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If password-based authentication is used, then ease of operation is maintained, but security reliability deteriorates due to vulnerability to malicious activities and difficulty in remembering complex passwords
Solution Approach 1:
The patent replaces the mechanical/password-based authentication system with an optical/visual system using eye gaze tracking. Instead of requiring users to remember and input complex passwords, the system uses a camera to track eye movements and identify images in a collage, substituting physical keyboard interaction with natural eye-based selection that enhances both security and ease of use
Solution Approach 2:
The system enables users to authenticate themselves through their own unique eye movement patterns and image recognition abilities. The eye tracking system captures the user's natural gaze behavior as they identify images in the collage, creating a self-service authentication mechanism that leverages the user's inherent visual processing capabilities without requiring external assistance or complex password management
2Reliability
If a static image collage is used for authentication, then ease of operation improves, but security deteriorates because the pattern can be recorded and replicated
Solution Approach 1:
The patent implements a dynamic collage system where the positions, sizes, and arrangements of images continuously change between authentication attempts. This dynamic reconfiguration ensures that even if an attacker records one authentication session, the pattern becomes invalid in subsequent sessions, providing security against replication attacks while maintaining the simplicity of the collage interface
Solution Approach 2:
The system performs preliminary actions by pre-configuring multiple images in the collage with specific positions and sizes before each authentication attempt. The collage is prepared in advance with randomized arrangements, and the system tracks eye movements against this pre-configured layout, allowing for secure authentication without requiring complex real-time image generation or manipulation during the actual authentication process
Data Source
AI summary
According to an example of the present disclosure, an image collection is loaded. At least one image property of the image collection is randomized, and the image collection is displayed. A registered sequence of images is accessed. At least one eye gaze and at least one eye gaze time interval are captured. A selection sequence of images in the randomized image collection is determined based on the at least one eye gaze and the at least one eye gaze time interval, and a further determination is made as to whether the selection sequence of the images in the randomized image collection matches the registered sequence of images.