Immuta’s patent involves systems and methods for applying k-anonymity to query responses in relational databases. The technology determines attribute frequency, creates anonymization rules, and generates k-anonymous answers. This innovation allows for secure data handling and control of displays based on query results. GlobalData’s report on Immuta gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Immuta, Trusted platform module was a key innovation area identified from patents. Immuta's grant share as of May 2024 was 40%. Grant share is based on the ratio of number of grants to total number of patents.

Anonymizing answers to queries in relational databases

Source: United States Patent and Trademark Office (USPTO). Credit: Immuta Inc

A recently granted patent (Publication Number: US11960624B2) discloses a system for anonymizing answers to queries sent to a relational database. The system involves obtaining the query, determining attribute frequencies in the database, creating an anonymization rule set based on these frequencies, generating an anonymized answer with k-anonymity, and controlling a display based on the answer. The system allows for the suppression of certain attributes in the answer to maintain privacy and security.

Furthermore, the patent details a method for applying k-anonymity to query answers in a relational database. This method involves obtaining the query, determining attribute frequencies, creating an anonymization rule set, generating an anonymized answer with k-anonymity, and controlling a display based on the answer. By utilizing settings for k, the method ensures the appropriate level of anonymity is maintained in the response. The method also includes steps for separating records based on attribute frequencies and utilizing decision tree data structures to extract binary conditions for the anonymization rule set. Overall, the patent aims to enhance data privacy and security in relational database queries through effective anonymization techniques.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.