Synthetic User Profile Generation for Data Anonymization
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Solution Overview
Problem
Users face challenges in sharing personal information with third-party websites and applications due to concerns about reliability and data security, often resorting to fake information, which can lead to account issues and data breaches.
Innovation Solution
A system and method for generating synthetic user profiles that anonymize authentic user data, allowing users to provide synthetic identification and demographic data that is different from their actual information, while maintaining security and accuracy for trusted third parties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users provide authentic personal information to third-party websites, then the third party can reliably process transactions and services, but user data security and anonymity are compromised
Solution Approach 1:
The system creates synthetic user profiles that are copies or simulations of authentic user data. These synthetic profiles contain realistic demographic information but are artificially generated, allowing third parties to interact with what appears to be real user data while the actual authentic data remains protected and anonymous
Solution Approach 2:
The synthetic user profile acts as an intermediary between the user and the third-party service. Instead of direct exposure of authentic data to potentially untrusted third parties, the synthetic profile mediates the interaction, providing necessary demographic information while blocking access to sensitive personal identification data
2Object-affected harmful factors
If users provide fake information to protect anonymity, then data security is improved, but the information cannot be reliably verified by third parties and accounts may be suspended
Solution Approach 1:
Rather than using completely fabricated fake information, the system generates synthetic profiles that copy the structure and characteristics of authentic user data. This creates information that is sufficiently realistic to pass verification checks while maintaining anonymity, avoiding the pitfalls of obvious fake data
Solution Approach 2:
The system transforms authentic user data parameters into synthetic equivalents that maintain statistical validity. By changing the source from authentic to synthetic while preserving demographic distributions and patterns, the data maintains reliability for verification purposes while protecting individual anonymity
3Ease of operation
If users reuse the same fake information across multiple services, then ease of use is improved, but third parties can identify and suspend accounts using fake data
Solution Approach 1:
The system makes user profiles dynamic by generating different synthetic profiles for different third-party services. Instead of a static fake identity reused everywhere, the synthetic profile adapts and changes based on the specific service context, making it difficult for third parties to identify patterns and suspend accounts
Solution Approach 2:
The system segments the user's identity into multiple separate synthetic profiles, each tailored for specific third-party services. This segmentation prevents any single third party from accumulating enough data points to identify the underlying authentic user, while still providing convenient automated profile generation for each service
Data Source
AI summary
A system includes one or more processors coupled to machine readable storage media having instructions stored therein that, when executed by the one or more processors, cause the one or more processors to perform operations including receiving user data of a user including authentic user demographic data, storing the user data in an authentic user profile, receiving a request for a user profile from a third party, generating a synthetic user profile including synthetic user data based on the authentic user profile where generating the synthetic user profile comprises generating synthetic demographic data that is similar to the authentic user demographic data within a predetermined threshold, storing the synthetic user profile in a user profile database where the stored synthetic user profile is associated with the authentic user profile and the third party, and providing the synthetic demographic data to a third party device associated with the third party.