Audio Hashing for Secure Remote Data Exchange
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Solution Overview
Problem
There is a challenge in securely handling sensitive information in remote work environments where businesses cannot effectively monitor and enforce internal and external data security protocols, leading to potential compromise of sensitive data.
Innovation Solution
A data security application that identifies and hashes sensitive information in real-time, allowing for secure exchange and communication of sensitive data between client devices, using natural language processing and machine learning to maintain contextual integrity and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensitive information is transmitted in remote work environments, then business operations can continue, but data security protocols cannot be effectively monitored and enforced
Solution Approach 1:
The patent introduces an intermediary hashing mechanism that transforms sensitive information into hashed versions before transmission. This intermediary process enables remote work communication while maintaining security protocol enforcement, as the hashing function acts as a automated mediator that protects data without requiring human monitoring
Solution Approach 2:
The system implements self-service security through automated hashing and un-hashing processes. The software autonomously identifies sensitive information, applies hashing transformations, and manages security protocols without requiring external monitoring or manual intervention, enabling reliable security enforcement in remote environments
2Reliability
If sensitive information is hashed for security, then data protection is improved, but the ability to access and use the original information is reduced
Solution Approach 1:
The patent implements dynamic hashing where the transformation between sensitive and hashed information is context-dependent. The system dynamically applies hashing during transmission and automatically un-hashes when the information needs to be accessed or stored, providing both security and accessibility at different stages of the data lifecycle
Solution Approach 2:
The system changes the state parameter of sensitive information by transforming it into hashed form for transmission. This parameter change enables security during transit while the reversible nature of the transformation allows restoration of the original information state when needed for access or storage
3Loss of information
If audio data is processed to replace sensitive information with hashed versions, then privacy is maintained, but the audio data structure becomes more complex
Solution Approach 1:
The patent creates copied versions of audio data where sensitive portions are replaced with hashed equivalents. This copying approach maintains privacy by substituting sensitive content while preserving the overall audio structure and context, making the processing complexity manageable through systematic replacement rather than complete transformation
Data Source
AI summary
Described are techniques for preserving data security for sensitive information. The techniques including identifying sensitive information in first audio data from a first client device. The techniques further comprise generating second audio data including hashed sensitive information, where the hashed sensitive information comprises an audio clip that replaces the sensitive information and that is based on the sensitive information. The techniques further comprise transmitting the second data including the hashed sensitive information to a second client device. The techniques further comprise receiving third audio data including the hashed sensitive information from the second client device. The techniques further comprise generating fourth audio data by replacing the hashed sensitive information with the sensitive information and transmitting the fourth audio data including the sensitive information to the first client device.