Data Anonymization Marketplace for Privacy-Preserving Service Personalization
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Solution Overview
Problem
Current systems lack an efficient and secure method for creating a marketplace where user data can be anonymized and traded while protecting user identity and access rights, leading to challenges in providing personalized services based on user data without compromising privacy.
Innovation Solution
A system that includes a data anonymizer module, which applies partial or irreversible anonymization to user data, and a marketplace module that facilitates the exchange of anonymized data for services, allowing third-party developers to access anonymized user information in exchange for providing services, while ensuring user consent and control over data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user data is collected and stored for personalized services, then service personalization is improved, but user privacy and security are compromised
Solution Approach 1:
The patent extracts personally identifiable information (PII) from user data through the PII removal module, separating identifying elements from behavioral or preference data. This allows the system to retain useful data for personalization while removing privacy risks, directly resolving the contradiction between service personalization and user privacy protection
Solution Approach 2:
The patent introduces an intermediary data processing system that includes anonymization modules, consent management, and selective data sharing mechanisms. This intermediary layer mediates between data collection needs and privacy protection, enabling personalized services through anonymized data while maintaining user privacy through controlled data access and transformation
2Adaptability or versatility
If third-party developers access user data, then service innovation is improved, but data security and user control are worsened
Solution Approach 1:
The patent segments user data into different categories (PII, behavioral data, preference data) and applies different access controls and anonymization levels to each segment. Third-party developers receive only necessary anonymized segments, enabling service innovation while maintaining data security through granular access control and data minimization
Solution Approach 2:
The patent introduces an intermediary marketplace platform that facilitates controlled data exchange between users and third-party developers. This intermediary enforces security protocols, manages user consent, and ensures data is shared in anonymized forms, enabling service innovation while maintaining data security and user control through a trusted mediation layer
3Object-affected harmful factors
If complete user data is anonymized, then user privacy is improved, but data utility for personalized services deteriorates
Solution Approach 1:
The patent applies different anonymization techniques to different data elements based on their sensitivity and utility. PII elements receive strong anonymization or removal, while behavioral and preference data receive lighter anonymization that preserves utility. This local differentiation of anonymization intensity maintains user privacy while preserving data utility for personalized services
Solution Approach 2:
The patent applies partial anonymization rather than complete anonymization, removing only the elements necessary to protect privacy (PII) while retaining sufficient information for service personalization. This partial action approach achieves the minimum necessary anonymization to protect privacy while maximizing data utility, avoiding the excessive anonymization that would destroy data value
Data Source
AI summary
A method substantially as shown and described the detailed description and/or drawings and/or elsewhere herein. A device substantially as shown and described the detailed description and/or drawings and/or elsewhere herein.