Time-Varying Biometric Authentication with Predictive Updates
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Solution Overview
Problem
Biometric authentication methods using permanent features like fingerprints or iris scans are insecure as they cannot be easily changed or rotated, making them vulnerable to unauthorized access if compromised, unlike alphanumeric passwords which can be regularly updated.
Innovation Solution
The use of time-varying biometric features, such as fingernail images, combined with a predictive algorithm to account for changes over time, ensuring that biometric data naturally expires and becomes obsolete, thus enhancing security by requiring periodic re-authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If permanent biometric features like fingerprints or iris scans are used for authentication, then authentication convenience is improved, but security is worsened because the data cannot be easily changed or rotated if compromised
Solution Approach 1:
The patent applies the dynamics principle by transitioning from static permanent biometric features to dynamic time-varying biometric features. The system uses biometric characteristics that naturally change over time (such as fingernail length, facial features, or body measurements) and updates the reference biometric data periodically. This allows the authentication system to remain convenient while improving security, as compromised biometric data naturally becomes obsolete over time and can be replaced without requiring user intervention to change permanent features.
2Reliability
If biometric data is stored permanently for authentication, then authentication reliability is improved, but adaptability is worsened because the data cannot be updated or rotated like passwords
Solution Approach 1:
The patent implements periodic action by establishing a time-based update mechanism for biometric reference data. The system periodically refreshes the stored biometric characteristics at predetermined intervals (e.g., daily, weekly, or monthly updates). This periodic renewal maintains authentication reliability by ensuring current biometric data is used while simultaneously improving adaptability, as the system can naturally adapt to changes in the user's biometric features over time and replace compromised data through scheduled updates.
3Measurement precision
If traditional biometric authentication is used, then measurement precision is improved for identifying users, but loss of information is worsened when biometric data becomes obsolete or compromised
Solution Approach 1:
The patent applies feedback by implementing a continuous biometric data update cycle where the system periodically retrieves updated biometric characteristics from the user and replaces the old reference data. This feedback mechanism ensures that the authentication system maintains high measurement precision by using current biometric data while preventing information loss through systematic renewal. The feedback loop also enables the system to detect and respond to compromised data by comparing new biometric readings against updated references, thereby maintaining both accuracy and preventing obsolescence.
Data Source
AI summary
Embodiments herein disclose computer-implemented methods, computer program products and computer systems for authenticating a user. The computer-implemented method may include receiving biographical data corresponding to a user. A change rate may be determined based on user biographical data. The computer-implemented method may include receiving first biometric data having a time-varying characteristic from the user at a first time and receiving second biometric data having the time-varying characteristic from the user at a second time that is later in time than the first time. Further, the computer-implemented method may include determining third biometric data based at least on the first biometric data, the second time, and the time-varying characteristic, and authenticating the user if the third biometric data is within a predetermined threshold of the second biometric data at the second time.