Secure Data Loading Architecture for Privacy-Preserving Query Mediation
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Solution Overview
Problem
Existing systems face challenges in generating computerized predictions across disparate data sets while ensuring user privacy and adhering to data security obligations, particularly due to the limitations and misuse of tracking cookies, which lack user control and consent management.
Innovation Solution
A computational architecture using an 'always protected data storage mechanism' that enforces limited access rights through automated processes, allowing query validation and obfuscation to protect user data, enabling cross-party data analysis while maintaining privacy, and providing a one-way communication of offers and coupons without exposing user identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If metadata trackers like cookies are used for tracking user information, then targeted advertising capability is improved, but user privacy protection deteriorates due to information leakage
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between advertisers and user data. Advertisers submit queries to this intermediary system, which processes the queries against encrypted user data without exposing the actual data to advertisers. This intermediary layer enables targeted advertising while protecting user privacy by preventing direct access to sensitive information.
Solution Approach 2:
The patent creates encrypted copies of user data that can be queried without revealing the original information. Instead of giving advertisers access to real user data, the system works with encrypted representations that preserve the ability to perform targeted advertising queries while ensuring that the actual user information remains protected and inaccessible.
2Object-affected harmful factors
If access rights to data are restricted for privacy protection, then user privacy is improved, but data sharing capability deteriorates
Solution Approach 1:
The patent changes the parameter of data accessibility by introducing encrypted versions of user data. The data itself remains restricted and protected, but encrypted copies with different access parameters are created. These encrypted copies can be shared and queried by multiple parties without compromising the security of the original data, thus enabling data sharing while maintaining privacy protection.
Solution Approach 2:
The patent segments data access into different levels: the original encrypted user data remains securely stored and accessible only through controlled query mechanisms, while encrypted copies can be distributed to multiple advertisers. This segmentation allows different parties to access different representations of the data with appropriate permission levels, enabling broad data sharing capability while maintaining strict privacy controls over the original information.
3Ease of operation
If user consent validation is enforced for each query, then privacy control is improved, but query processing complexity deteriorates
Solution Approach 1:
The patent performs preliminary actions by pre-establishing encrypted data structures and permission frameworks before queries are executed. User consent and access permissions are embedded into the encrypted data structure in advance. When queries arrive, the system can validate permissions against these pre-configured parameters without requiring complex real-time consent checks, thus reducing query processing complexity while maintaining strong privacy controls.
Data Source
AI summary
A computational approach is proposed herein for controlling a user interface for rendering of interactive graphical control elements representing offers and coupons that are inserted into a computational payment process. In particular, the offers and coupons can interact with stored payment information resident (or tokens thereof) on a digital wallet data structure. The approach can be implemented as a computing system, a computing method operable on a computing system, or a computer program product affixed in the form of a non-transitory computer readable medium storing machine-interpretable instructions.


