Adaptive Gaze Encryption for Secure XR Authentication
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Solution Overview
Problem
Existing encryption methods in extended reality (XR) spaces are susceptible to interception and unauthorized access due to reliance on tactile inputs, and integrating eye-tracking and neuromorphic computing with blockchain for secure communication faces challenges in data processing speed, integrity, and biometric variability.
Innovation Solution
A system integrating eye-tracking technology, neuromorphic computing, and blockchain to generate dynamic encryption keys based on adaptive gaze tensors, providing a non-tactile input method that adapts to user behavior and environmental changes, ensuring secure data storage and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If eye-tracking data is used to generate dynamic encryption keys, then security is improved, but processing complexity increases
Solution Approach 1:
The system segments the encryption key generation process into distinct modules: eye-tracking data capture, feature extraction, neuromorphic processing, and key generation. This modular approach manages complexity by dividing the overall process into manageable, independent components that can be optimized separately.
Solution Approach 2:
The patent introduces an intermediary processing layer between eye-tracking data and encryption key generation. This intermediary layer includes feature extraction and normalization components that transform raw biometric data into standardized formats suitable for cryptographic operations, reducing the complexity of direct processing.
2Speed
If neuromorphic computing is integrated with eye-tracking for real-time processing, then response speed is improved, but system complexity increases
Solution Approach 1:
The system merges neuromorphic computing capabilities directly with the eye-tracking processing pipeline, integrating artificial neural network processing with biometric data analysis. This combination enables real-time feature extraction and pattern recognition without requiring separate processing stages, improving speed while managing complexity through unified architecture.
Solution Approach 2:
The neuromorphic computing module operates autonomously to process eye-tracking data in real-time, self-adjusting its processing parameters based on input data characteristics. This self-service capability reduces the need for external control mechanisms, improving processing speed while minimizing the complexity of system management.
3Adaptability or versatility
If biometric data is used for encryption key generation, then adaptability to user behavior is improved, but consistency of security levels deteriorates
Solution Approach 1:
The system dynamically adjusts encryption key parameters based on real-time eye-tracking data while maintaining consistent security thresholds. The adaptability is achieved through dynamic feature selection and weighting, where the system responds to user behavior changes without compromising the fundamental security level, balancing adaptability with consistency.
Solution Approach 2:
The patent employs parameter changes in the encryption process based on biometric variability. When eye-tracking data shows significant deviations from normal patterns, the system adjusts cryptographic parameters such as key length or algorithm selection to maintain consistent security levels, while still adapting to legitimate user behavior variations.
4Reliability
If blockchain technology is integrated for secure data storage, then data integrity is improved, but coordination of data processing speeds deteriorates
Solution Approach 1:
The system performs preliminary processing of eye-tracking data and encryption key generation before blockchain operations. By preparing data in advance and pre-validating cryptographic operations, the system reduces the processing burden on the blockchain network, maintaining data integrity while improving coordination speed between different system components.
Data Source
AI summary
A system for secure optical encryption and authentication for a user within an extended reality space is provided. The system includes an eye-tracking device, a processor, and a memory in communication with the processor that includes a user interface module to allow the user to select the message option, a gaze-tracking module to receive the message option from the user interface module and the eye movement data from the eye-tracking device, and generate an adaptive gaze tensor, a neuromorphic computing module to receive the eye movement data and the adaptive gaze tensor from the gaze-tracking module, and update the adaptive gaze tensor when a change in behavior is found in the eye movement data, an artificial intelligence (AI) module to assist the gaze-tracking module and the neuromorphic computing module, and an authentication module to receive the adaptive gaze tensor and generate an encryption key based on the adaptive gaze tensor.