Dataset Validation Platform Cryptographic Access Control

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Solution Overview

Problem

Existing data access control systems lack the ability to effectively control access to datasets based on compliance standards described in a cryptographically signed record, and they do not provide a reliable record of data transformations.

Innovation Solution

A dataset validation platform that receives metadata for a dataset, verifies the source, and generates data blocks to modify a cryptographically signed record, ensuring compliance with availability requirements and allowing or denying access based on these standards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is shared between data management systems to enable data transformation, then data utility and analytical capability are improved, but compliance with availability requirements and data protection standards deteriorates

Engineering Contradiction:

Improvedata transformation capabilityVSAvoidcompliance with availability requirements

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary compliance verification by checking availability requirements and generating compliance verifications before allowing data access. The dataset validation platform verifies that requested transformations comply with availability requirements of source datasets before granting access, preventing compliance violations in advance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The dataset validation platform acts as an intermediary between data management systems, receiving access requests, verifying compliance with availability requirements, and only then allowing data access. This intermediary layer ensures that data sharing occurs only when compliance standards are met.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If access control mechanisms are implemented to enforce compliance standards, then data security and compliance reliability are improved, but system complexity and operational overhead increase

Engineering Contradiction:

Improvecompliance enforcementVSAvoidaccess control system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Data management systems automatically generate compliance verifications and include them with access requests without requiring manual intervention. The system self-validators compliance by automatically checking availability requirements and generating the necessary verification documentation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The cryptographically signed record serves multiple functions: it stores availability requirements, records compliance verifications, tracks data transformations, and provides audit trails. This multi-functional approach consolidates what would otherwise require separate systems into a single unified structure.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If comprehensive compliance verification is performed on data transformations, then compliance reliability is improved, but processing time and operational efficiency decrease

Engineering Contradiction:

Improvecompliance verification accuracyVSAvoiddata access processing speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

Compliance verification is performed as a preliminary step before data access is granted. By checking availability requirements and generating compliance verifications in advance, the system ensures that only compliant transformations are approved, avoiding rework and ensuring accuracy without delaying approved operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Manual compliance checking processes are replaced with automated cryptographic verification mechanisms. The system uses digital signatures and automated validation algorithms to verify compliance, replacing slower manual review processes with faster computational verification.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Loss of information

If detailed records of data transformations are maintained for monitoring, then compliance monitoring capability is improved, but data storage requirements and system complexity increase

Engineering Contradiction:

Improvetransformation tracking accuracyVSAvoidrecord storage volume

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

Instead of storing complete datasets and all transformation details, the system stores cryptographic copies and hashes of data transformations in the cryptographically signed record. This allows verification of transformations without storing the actual data, significantly reducing storage requirements while maintaining tracking accuracy.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The cryptographically signed record combines multiple types of information (availability requirements, compliance verifications, transformation records, audit trails) into a single integrated data structure. This composite approach consolidates what would otherwise require separate storage systems into one unified record.

Inventive Principle:

Principle #40Composite materials

Data Source

PatentUS20250068759A1Controlling Access To Datasets Described In A Cryptographically Signed Record

Publication Date: 2025.02.27 AT&T INTELLECTUAL PROPERTY I L P

AI summary

In a dataset exchange environment in which datasets are available for exchange or transformation, a dataset validation platform may be configured to update a cryptographically signed record based on each dataset that is available via the data exchange environment. The dataset validation platform may be further configured to control access to the datasets based on whether a request to access a particular dataset is compliant with an availability requirement of the particular dataset. The dataset validation platform may be further configured to update the cryptographically signed record based on requests to access the datasets, transformations that are based on the datasets, or modifications to the availability requirement of the datasets, such as a modification to a privacy limitation or other availability requirement indicating a criteria for usage of the requested dataset.