Biometric Data Interpolation for Secure Identity Verification
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Solution Overview
Problem
Conventional login and password mechanisms are vulnerable to cybersecurity breaches, and physical identification methods are burdensome and susceptible to loss, theft, and counterfeiting, while single sign-on features compromise user privacy by tracking and selling personal data.
Innovation Solution
A system that generates a digital DNA (dDNA) based on real-time biometric and statistical data, using a processor to source and interpolate data from various devices, creating a unique, tamper-proof identification tool that replaces traditional login methods and provides secure, multi-factor authentication without the need for passwords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional login and password mechanisms are used, then user authentication is simple to implement, but security is vulnerable to cybersecurity breaches
Solution Approach 1:
The patent replaces traditional mechanical authentication systems (physical passwords, tokens) with a biometric-based authentication system that uses physiological and behavioral characteristics. This substitution eliminates the vulnerability of password-based systems while providing more reliable security through unique biological traits that cannot be easily replicated or stolen.
Solution Approach 2:
The system transforms authentication from static parameters (fixed passwords) to dynamic parameters (real-time biometric measurements). By continuously measuring physiological parameters such as heart rate, galvanic skin response, and facial micro-movements, the system creates a dynamic authentication profile that adapts to the user's current state, making it much harder to compromise.
2Reliability
If physical identification methods are used, then user verification is straightforward, but the identification is susceptible to loss, theft, and counterfeiting
Solution Approach 1:
The patent creates a digital replica or 'twin' of the user's biometric characteristics that can be transmitted and verified remotely. This digital twin captures the essential identifying features without requiring the physical presence of the original identification document, eliminating risks of loss, theft, and counterfeiting while maintaining verification accuracy.
Solution Approach 2:
The system replaces physical identification documents (passports, driver's licenses) with a digital biometric verification system. Instead of presenting physical proof of identity, users provide real-time biometric data that is compared against stored profiles, eliminating the vulnerabilities of physical documents while streamlining the verification process.
3Ease of operation
If single sign-on features are used, then user access to multiple services is convenient, but user privacy is compromised through tracking and data selling
Solution Approach 1:
The patent extracts only the essential authentication elements (biometric verification results) needed for service access, leaving behind all unnecessary tracking and data collection mechanisms. The system transmits minimal information required for authentication while deliberately excluding detailed user behavior data, location information, and other privacy-sensitive data that single sign-on systems typically harvest.
Solution Approach 2:
The system introduces a privacy-preserving intermediary layer that verifies user identity through biometrics without exposing underlying personal information to service providers. This intermediary performs the authentication function while protecting user data, allowing convenient multi-service access without the privacy violations inherent in traditional single sign-on implementations.
Data Source
AI summary
The subject disclosure relates to employing sourcing and generation components to facilitate a generation of identity data. In an example, a system comprising a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory, comprise a sourcing component and a generation component. In an aspect, the sourcing component can source, by a user device comprising the processor, a set of biometric data and a set of statistical data. In another aspect, a generation component can generate, by the user device, a set of identification data based on an interpolation of the set of biometric data and the set of statistical data.