Dynamic Biometric Authentication via Habitual Trait Monitoring
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Solution Overview
Problem
Current security systems rely on static personal identifiers that can be hijacked or forged, and they authenticate credentials rather than the person presenting them, making it difficult to verify identity in real-time and preventing impersonation attacks.
Innovation Solution
A device configured to capture and monitor unique human traits through sensors, such as those related to physical, physiological, environmental, and biometric characteristics, learns the habits of the user and verifies possession in real-time, providing a dynamic and highly accurate method of authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static personal identifiers (passwords, credentials) are used for authentication, then ease of operation is improved, but reliability deteriorates because they can be hijacked or forged
Solution Approach 1:
The patent transitions from static credentials to dynamic biometric authentication. The system continuously monitors multiple biometric parameters (heart rate, temperature, galvanic skin response, pupil dilation) that change dynamically based on physiological state, making authentication both convenient and secure against credential theft
Solution Approach 2:
The system measures and analyzes changes in multiple physiological parameters simultaneously. By monitoring how these parameters change in response to stimuli and comparing them against stored baseline profiles, the system achieves reliable authentication without requiring users to remember complex credentials
2Reliability
If multiple authentication factors are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple biometric sensors (heart rate monitor, temperature sensor, galvanic skin response sensor, pupil meter) into a single integrated authentication system. This merging approach achieves high reliability through multi-parameter monitoring while maintaining relatively simple device architecture compared to traditional multi-factor authentication systems
Solution Approach 2:
The system uses a single device that can perform multiple authentication functions by analyzing different biometric parameters. The same device can detect presence, verify identity, and assess emotional state, eliminating the need for separate authentication mechanisms
3Reliability
If continuous monitoring of biometric traits is performed, then reliability is improved, but use of energy increases
Solution Approach 1:
The system implements periodic sampling of biometric parameters rather than continuous monitoring. Sensors take measurements at intervals and trigger additional monitoring only when authentication events are detected or physiological changes exceed thresholds, reducing energy consumption while maintaining verification accuracy
Solution Approach 2:
The system uses low-power, disposable or replaceable sensor components that consume minimal energy. Each sensor is designed for short-duration high-accuracy measurements rather than continuous operation, allowing the device to maintain reliability while keeping energy usage low
Data Source
AI summary
A method and system determines a probability that a mobile device is in use by a first user. Sensors of a mobile device are used to detect and quantify human activity and habitual or behavior traits. A collection of such habitual human trait values identifying a first user of the device are memorized during a training and learning period. During subsequent periodic predictive periods, a new collection of like habitual trait values of the current user of the device, when captured and compared with memorized values of the first user of the device relative to time, uniquely identify the person in possession of the mobile device as being or not being the first user of the device. By associating this knowledge with a unique device known to be assigned to the first user of the device, it becomes possible to confirm identity without risk of impersonation.