Unisys‘s patent introduces SQL into relational databases to incorporate blockchain technology, enhancing security and verification without requiring a complete software rewrite. The innovation enables historical transaction records, reducing susceptibility to tampering and allowing temporal queries and audits. The system inserts transactions onto a blockchain and updates data objects accordingly. GlobalData’s report on Unisys gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Unisys, MITM attack solutions was a key innovation area identified from patents. Unisys's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Blockchain-enabled relational database management system
A recently granted patent (Publication Number: US11836130B2) discloses a database management system that includes a relational database with data objects and an agent that provides a domain-specific programming language user interface to interact with the database. The agent is designed to insert transactions onto a blockchain in response to changes in data objects, update the data objects and their neighboring objects in the database, and maintain transaction history. Additionally, the agent can perform queries on the relational database stored on the blockchain using space-time links within the data objects.
Furthermore, the database management system described in the patent includes features such as authentication of users and the agent itself, periodic integrity checks on blockchain links, utilization of a deletion key for decrypting transaction data, and the inclusion of immutable and mutable data blocks supporting data object operations. The method outlined in the patent involves translating a domain-specific programming language user interface to the relational database, updating data objects and their neighbors, and querying the database on the blockchain using space-time links. These innovative techniques aim to enhance data management, security, and integrity within relational databases by leveraging blockchain technology and domain-specific programming languages like Structured Query Language (SQL).
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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.
