Predictive Voice Obfuscation for Sensitive Information Protection
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Solution Overview
Problem
Interactive voice systems face challenges in protecting sensitive information from being intercepted or misused during voice recognition sessions, as they often transmit potentially sensitive data without adequate security measures, making users vulnerable to identity theft and other malicious activities.
Innovation Solution
A computing system predicts the occurrence and duration of sensitive information utterances during interactive voice sessions and obfuscates or masks them by replacing the sensitive information with alternative audio data based on the user's voice, preventing transmission to unauthorized parties and enhancing cybersecurity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensitive information is transmitted during interactive voice sessions, then the system provides complete information to users, but the system becomes vulnerable to interception and malicious activities
Solution Approach 1:
The patent introduces an intermediary processing layer that receives the original sensitive information, transforms it through obfuscation techniques (such as masking, tokenization, or synthetic generation), and delivers the transformed information to the user. This intermediary process maintains information utility while eliminating direct exposure of sensitive data, thereby resolving the contradiction between information completeness and cybersecurity risk.
Solution Approach 2:
The patent applies parameter changes by transforming the sensitivity parameter of the information. Through techniques like data masking, anonymization, or synthetic data generation, the original sensitive information is converted into a form that retains functional value but has altered sensitivity characteristics. This allows the system to provide complete information while changing its security profile to prevent interception and malicious use.
2Object-affected harmful factors
If sensitive information is obfuscated or masked, then cybersecurity is enhanced, but the system loses access to the original sensitive data
Solution Approach 1:
The patent segments the information handling process into distinct functional components: an obfuscation layer that transforms sensitive information for transmission, and a retention layer that preserves the original data in a secure environment. This segmentation allows the system to provide cybersecurity protection through obfuscation while maintaining access to original data through controlled interfaces, resolving the contradiction between security enhancement and data accessibility.
Solution Approach 2:
The patent introduces an intermediary mechanism that bridges the obfuscated information stream and the original sensitive data repository. This intermediary allows the system to enhance cybersecurity by transmitting masked information while simultaneously providing controlled access to the original data when needed, thus resolving the apparent loss of access contradiction.
3Object-affected harmful factors
If the system predicts and blocks sensitive information transmission, then malicious activities are prevented, but the system may block legitimate information flow
Solution Approach 1:
The patent applies parameter changes by transforming the blocking mechanism from a binary block/allow decision to a nuanced transformation process. Instead of simply blocking predicted sensitive information, the system transforms it into obfuscated form that retains legitimacy while preventing malicious use. This parameter change in the handling approach maintains information flow efficiency while achieving malicious activity prevention.
Solution Approach 2:
The patent introduces an intermediary transformation layer between the prediction mechanism and the information transmission channel. This intermediary processes predicted sensitive information through obfuscation rather than outright blocking, allowing legitimate information flow to continue while preventing malicious activities. The intermediary acts as a intelligent gatekeeper that transforms rather than terminates information flow, resolving the productivity contradiction.
Data Source
AI summary
A method comprises obtaining, by a computing system, first audio data representing one or more initial utterances during an interactive voice session with an interactive voice system; generating, by the computing system, based on the first audio data, a prediction regarding whether a subsequent utterance of a user during the interactive voice session will contain sensitive information, the subsequent utterance following the one or more initial utterances in time; obtaining, by the computing system, second audio data representing the subsequent utterance; determining, by the computing system, based on the prediction, whether to transmit the second audio data; and based on a determination not to transmit the second audio data: replacing, by the computing system, the second audio data with third audio data that is based on a voice of the user; and transmitting, by the computing system, the third audio data.