Vault Proxy for Secure Data Interoperability
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Solution Overview
Problem
The challenge lies in securely sharing and processing diverse data formats across different entities while maintaining data privacy, as existing technologies face difficulties in interoperability and compliance with regulations like HIPAA and GDPR, and lack transparency in data tracking and usage.
Innovation Solution
A data communication network architecture that employs secure data silos and temporary vaults to anonymize and normalize data, allowing controlled access for processing queries without compromising privacy, using secure data transmission protocols and temporary credentials to manage access and ensure compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is shared across different entities, then data interoperability and analysis capability are improved, but data privacy and security are compromised
Solution Approach 1:
The patent introduces a data trust intermediary that mediates between data owners and data consumers. The trust intermediary manages cryptographic key pairs, generates data access policies, and coordinates secure data sharing without exposing raw data. This intermediary structure enables interoperability while maintaining privacy through cryptographic protocols and policy-based access control.
Solution Approach 2:
The patent creates cryptographic copies and representations of data access rights rather than sharing the actual sensitive data. Data access policies and cryptographic keys serve as copies that enable data utilization without exposing the original sensitive information, allowing interoperability while preserving data privacy through mathematical equivalence rather than physical data sharing.
2Reliability
If data is anonymized and normalized, then data privacy is improved, but data utility and query processing capability deteriorate
Solution Approach 1:
The patent changes the parameters of data representation by transforming sensitive data into cryptographic representations and applying normalization rules. Data is transformed using cryptographic functions and policy-based parameters that maintain statistical and analytical properties while removing identifiable information, enabling both privacy protection and query processing through parameter transformation rather than data loss.
3Reliability
If temporary vaults and secure silos are used, then data security is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent segments the data sharing system into distinct functional components: data owners, data consumers, trust intermediaries, and temporary vaults. Each segment performs a specific function (data storage, data processing, policy management, secure temporary storage) and can be implemented independently. This segmentation reduces overall system complexity by creating modular, manageable units with well-defined interfaces.
4Loss of information
If data tracking and usage monitoring are implemented, then data accountability is improved, but processing efficiency and speed deteriorate
Solution Approach 1:
The patent implements preliminary action by pre-establishing data access policies, cryptographic key pairs, and tracking frameworks before data sharing occurs. Access policies are defined in advance with specified conditions and permissions, and cryptographic infrastructure is set up beforehand. This preliminary configuration enables automated real-time tracking without adding processing overhead during actual data operations, as the monitoring framework is already in place to handle transactions efficiently.
Data Source
AI summary
A method includes a data processing system creating a proxy for a virtual vault to access a data owner system in accordance with a temporary credential protocol, where the proxy is the only conduit between the virtual vault and the data owner system. The method continues by the proxy receiving a request from a virtual machine within the virtual vault, requesting data from the data owner system. When the request is valid, the method continues by the proxy creating a data retrieval request based on the request and data access credentials associated with the data owner system. The method continues by the proxy forwarding a data response from the data owner system to the virtual machine. The method continues by the data processing system deleting the proxy and the virtual vault when a data query has been completed, where the request is in accordance with the data query.