Key Pair Identifier Translation for Privacy-Preserving Data Exchange

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Solution Overview

Problem

Existing technologies fail to provide secure and permissive transactions between entities in a data exchange or marketplace, lacking methods to manage signals and maintain consumer privacy while deriving value from unstructured data without disclosing underlying data.

Innovation Solution

A key pair platform system and method for translating anonymized object identifiers within a federated data exchange, using anonymized object identifiers that represent data without disclosing the underlying information, enabling secure data transfer and management of signals between entities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional encryption methods are used to protect data, then data security is improved, but processing speed deteriorates

Engineering Contradiction:

Improvedata securityVSAvoidprocessing speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent extracts and removes personally identifiable information (PII) from data sets before exchange, creating anonymized data that can be processed and shared without the security overhead of encrypting sensitive personal information. This extraction of harmful elements (PII) allows faster processing while maintaining security through anonymization rather than encryption.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary anonymization of data before it enters the exchange network, removing PII in advance. This preliminary action eliminates the need for continuous encryption/decryption operations during data processing, thereby improving processing speed while maintaining security through the预先 established anonymized state.

Inventive Principle:

Principle #10Preliminary action

2Loss of information

If raw data is shared between entities, then data value and insights are improved, but consumer privacy deteriorates

Engineering Contradiction:

Improvedata valueVSAvoidconsumer privacy

Core Design Contradiction:

Loss of informationVSObject-affected harmful factors

Solution Approach 1:

The patent systematically extracts and removes personally identifiable information (PII) from data sets before exchange, creating anonymized data that can be processed and shared without exposing consumer identities. This extraction preserves the valuable behavioral and transactional patterns while eliminating privacy risks.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system introduces an intermediary anonymization layer between data providers and data consumers. This intermediary process transforms raw data containing PII into anonymized data that retains analytical value but cannot be traced back to individual consumers, thus mediating between data value and privacy protection.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Object-affected harmful factors

If data is anonymized to protect privacy, then consumer privacy is improved, but ability to derive insights deteriorates

Engineering Contradiction:

Improveconsumer privacyVSAvoidinsight derivation

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The patent applies different levels and types of anonymization to different elements of the data set. Behavioral patterns, transaction frequencies, and aggregate metrics are preserved in their original form to maintain analytical value, while only personally identifiable information is removed. This local differentiation of data treatment preserves insight derivation capability while protecting privacy.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system changes the parameters of data representation by transforming specific identifiable fields (names, addresses, SSNs) into anonymized forms while maintaining the structural integrity and relational parameters of the data. This allows analytical queries to function normally on anonymized data without losing the ability to derive business insights.

Inventive Principle:

Principle #35Parameter changes

4Reliability

If centralized management is used to control data exchange, then security and permissioning are improved, but system complexity deteriorates

Engineering Contradiction:

Improvepermissioning controlVSAvoidsystem architecture

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary centralized anonymization and permissioning validation before data enters the distributed exchange network. This preliminary centralized action establishes trust and permissions upfront, allowing the subsequent distributed processing to occur without requiring complex real-time centralized coordination, thus reducing overall system complexity.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12500759B2Key pair platform and system to manage federated trust networks in distributed advertising

Publication Date: 2025.12.16 COMMERCE SIGNALS

AI summary

Systems and methods are provided for object identifier translation using a key pairs platform in a virtualized or cloud-based computing system. A key pair refers to a pair of identifiers held by an entity. Each key pair includes at least one anonymized object identifier. Advantageously, the key pair system protects privacy and provides anonymity for objects by not disclosing the identity of the objects or the underlying data associated with the objects.