Snap inc. (20240378218). OPTIMIZED PRIVATE ID MATCHING BETWEEN ENTITIES simplified abstract
Contents
OPTIMIZED PRIVATE ID MATCHING BETWEEN ENTITIES
Organization Name
Inventor(s)
Apoorvaa Deshpande of Mountain View CA (US)
Bijeeta Pal of New York NY (US)
Antonios Papadimitriou of Los Angeles CA (US)
Sina Shiehian of Berkeley CA (US)
OPTIMIZED PRIVATE ID MATCHING BETWEEN ENTITIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378218 titled 'OPTIMIZED PRIVATE ID MATCHING BETWEEN ENTITIES
The abstract of this patent application describes methods and systems for private identification matching.
- A first entity stores a set of private identifiers associated with a set of data and groups different subsets of these identifiers into buckets based on a grouping criterion.
- A function is applied to a subset of a second set of data, stored by a second entity, that match private identifiers associated with buckets from the first entity.
- The results of applying the function to the subset of data are provided to the first entity.
Potential Applications: - Data security and privacy protection in various industries such as healthcare, finance, and e-commerce. - Identity verification and fraud prevention in online transactions and digital interactions.
Problems Solved: - Ensuring secure and accurate matching of private identifiers across different datasets. - Streamlining the process of identifying and verifying individuals while maintaining privacy.
Benefits: - Enhanced data security and privacy protection. - Improved accuracy and efficiency in matching private identifiers. - Streamlined identity verification processes.
Commercial Applications: Title: Secure Private Identification Matching System This technology can be utilized by companies offering identity verification services, financial institutions, healthcare providers, and e-commerce platforms to enhance data security and streamline identity verification processes.
Questions about Private Identification Matching: 1. How does this technology ensure the privacy of individuals' data during the matching process? This technology employs secure encryption methods and strict access controls to protect the privacy of individuals' data.
2. What are the potential challenges in implementing this system across different industries? Implementing this system may require compliance with industry-specific regulations and standards, as well as integration with existing data management systems.
Original Abstract Submitted
methods and systems are disclosed for performing private identification matching. the methods and systems store, by a first entity, a first set of private identifiers associated with a first set of data. the methods and systems group, by the first entity, different subsets of the first set of private identifiers into respective buckets of a first plurality of buckets according to a grouping criterion. the methods and systems apply a function to a subset of a second set of data, stored by a second entity, corresponding to private identifiers associated with one or more buckets of a second plurality of buckets, grouped by the second entity, that match private identifiers associated with one or more buckets of the first plurality of buckets. the methods and systems provide, to the first entity, a result of applying the function to the subset of the second set of data.
