A system and a method for distributed data intersection using privacy preserving collaborative detection

The system addresses the challenge of multi-party data processing by using cryptographic protocols and oblivious data sharing to ensure secure and compliant data collaboration, allowing entities to access only authorized data points while maintaining privacy.

WO2026133235A1PCT designated stage Publication Date: 2026-06-25PRIVASAPIEN TECH PTE LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
PRIVASAPIEN TECH PTE LTD
Filing Date
2025-12-18
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Existing systems lack the capability to enable multi-party data processing while enforcing granular privacy controls, dynamic consent, and policy-driven access, leading to challenges in maintaining compliance with privacy regulations during complex data collaboration.

Method used

A system and method for distributed data intersection using privacy-preserving collaborative detection, employing cryptographic protocols and oblivious data sharing techniques to identify and retrieve common data points while maintaining confidentiality and ensuring compliance with privacy regulations.

Benefits of technology

Enables secure, privacy-preserving data collaboration by allowing entities to access only authorized data points, ensuring data integrity and compliance with regulations like GDPR and CCPA, while preventing unauthorized disclosure.

✦ Generated by Eureka AI based on patent content.

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Abstract

A system and method for distributed data intersection using privacy preserving collaborative detection is disclosed The system includes a processor and a memory that causes the processor to verify data sets and configurations from a first and second entity interacting in a distributed data intersection to ensure data integrity and privacy during a data collaboration. The processor enables computations between the first and second entity using cryptographic protocols to identify common data points. The processor allows the first and second entity to retrieve the common data points pertaining to other entity using a oblivious data sharing technique while maintaining confidentiality of the data accessed during the interaction. The processor facilitates validation of data integrity and accuracy without revealing underlying information. The processor controls data-sharing policies ensuring that authorized data is disclosed based on a predefined criteria thereby enabling collaboration of data for re-identification while protecting privacy.
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