Denso had 41 patents in cybersecurity during Q3 2023. The first patent is for a data search system that uses blockchain technology to store search data and determine if registration data has been tampered with. It includes a blockchain storage unit, a database storage unit, a search unit, and a tamper determination unit.

The second patent is for a vehicle data storage method implemented by multiple nodes. It involves generating new blocks, verifying their validity using a common key, and connecting them to the blockchain when a majority of nodes determine they are valid. It also addresses the scenario of two new blocks being generated simultaneously.

The third patent is for an information processing device that receives a request signal, reads out user and storage region classes from memory, generates an object based on the classes, and executes a method corresponding to the object to acquire and output data requested by the signal. GlobalData’s report on Denso gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Denso grant share with cybersecurity as a theme is 39% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Data search system, non-transitory storage medium for storing data structure and data search method (Patent ID: US20230259659A1)

The patent filed by Denso Corp describes a data search system that utilizes blockchain technology to ensure the integrity of registration data. The system includes a blockchain storage unit, a database storage unit, a DB search unit, and a tamper determination unit. The blockchain storage unit stores a blockchain that contains hashed search data for searching registration data from the database. The DB search unit acquires the registration data from the database and provides it to a user terminal device. The tamper determination unit generates a hash value based on the acquired registration data and compares it with the search data stored on the blockchain to determine if the registration data has been tampered with.

The patent also includes several claims that further detail the functionality of the data search system. Claim 1 specifies that the registration data is associated with search data in the database, and the DB search unit searches the registration data based on the search data. Claim 2 states that the blockchain stores identifying data along with the search data, and the DB search unit acquires the identifying data from the user terminal device to retrieve the search data from the blockchain. Claim 3 and Claim 4 describe different methods of generating the identifying data using the search data and a timestamp server hash value or date/time data, respectively.

Claim 5 highlights that the search data includes a hash value of the registration data and a hash value of the user ID. Claim 6 introduces a registration data generation unit that acquires a registrant ID from a registration terminal device and generates the user ID from it. Claim 7 specifies that the database includes a registration data table and a user data table, where the registration data hash value and the registration data are associated with each other, and the registration data table and the user ID are associated with each other.

Claim 8 describes a non-transitory, computer-readable storage medium in the database that stores a data structure formed of registration data and search data. The search data is hashed data generated based on the registration data and is stored on a blockchain for searching the registration data from the database. Finally, Claim 9 outlines a data search method that involves storing the search data on a blockchain, acquiring the registration data based on the search data, providing the acquired registration data to a user terminal device, generating a hash value based on the registration data, and determining if the registration data is tampered with by comparing the hash value with the search data stored on the blockchain.

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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.