Voice Biometric Authentication for Secure Sensitive Data Transmission
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Solution Overview
Problem
Users are apprehensive about providing sensitive information in public or unsecure settings due to the risk of identity theft, as they must verbally disclose information during transactions, which can be intercepted by eavesdroppers.
Innovation Solution
A system that uses voice recognition technology to identify user voice signatures and pre-recorded responses stored on a client device, allowing for secure transmission of sensitive information without requiring users to speak it aloud, by authorizing responses from a repository of stored responses during a telephone conversation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users verbally disclose sensitive information during transactions, then the transaction process is completed, but the information security is compromised due to eavesdropping risks
Solution Approach 1:
The patent introduces a voice biometric authentication system as an intermediary between the user and the sensitive information transmission. Instead of directly verbalizing sensitive data, the user's voice print is captured and used to authenticate identity, allowing the system to retrieve and transmit pre-stored sensitive information without the user speaking it aloud. This mediator approach resolves the contradiction by enabling transaction completion while blocking the direct exposure of sensitive information to potential eavesdroppers.
Solution Approach 2:
The system performs preliminary action by pre-storing sensitive information in a secure repository and pre-registering voice biometric templates during setup phases. When a transaction requires sensitive information, the system has already prepared both the authentication mechanism (voice print) and the information to be transmitted, eliminating the need for users to verbally disclose sensitive data during the actual transaction. This advance preparation resolves the security-risk contradiction.
2Loss of information
If users provide sensitive information verbally in public settings, then the information can be transmitted to the recipient, but the risk of identity theft increases
Solution Approach 1:
The patent replaces the mechanical/physical act of verbally speaking sensitive information with a biometric authentication system. Instead of using the voice as a direct carrier of sensitive data (mechanical system), the system uses voice print analysis to authenticate identity and then electronically retrieves pre-stored information. This substitution eliminates the risk of identity theft through eavesdropping while maintaining reliable information transmission.
Solution Approach 2:
The system creates a copy of the user's voice characteristics in the form of a voice print template stored in the system. This copy serves as the authentication key, allowing the system to verify identity without requiring the user to speak sensitive information. The original sensitive information remains stored securely in encrypted form, and only the authenticated user's voice copy is used for verification, thus preventing identity theft while ensuring accurate information transmission.
3Measurement precision
If voice recognition technology is used to identify users, then authentication accuracy is improved, but the system complexity increases
Solution Approach 1:
The voice biometric authentication system operates in a self-service manner by automatically capturing voice samples, analyzing voice prints, comparing them against stored templates, and retrieving appropriate sensitive information without requiring manual intervention. The system self-manages the entire authentication and information retrieval process, which justifies the increased complexity through automated precision rather than manual procedures.
Solution Approach 2:
The system changes the parameter of authentication from manual verification methods to automated voice biometric analysis. By transforming the authentication mechanism into a parameter-based system that analyzes voice frequency, pitch, and other acoustic characteristics, the system achieves high authentication accuracy. The increased complexity is accepted as a necessary transformation to enable precise, automated voice-based authentication that replaces less accurate manual methods.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances data security by preventing sensitive information from being disclosed to unauthorized parties, ensuring accurate and secure transmission of sensitive data without exposing it to eavesdroppers, thus protecting user privacy.
Implementation Method 1
identifying a user participating in a voice call by a user voice signature
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for processing a secure data phone request are provided. The embodiment may include identifying a user participating in a voice call by a user voice signature. The embodiment may also include identifying a verbal request, received during the voice call, for the identified user to provide sensitive information. The embodiment may further include identifying, upon authorization of the identified user, a response from a repository of stored, pre-recorded responses associated with the identified user that satisfies the request, where the stored responses are stored as a pre-recorded voice clip or a pre-recorded number sequence on the client computing device.