JVCKENWOOD had seven patents in cybersecurity during Q4 2023. JVCKENWOOD Corp filed a patent for a data generation device that generates test data groups to test communication devices and determines their state for further testing. Another patent is for a detection function control device that determines a vehicle’s situation based on various detection results and activates detection functions for detecting dangerous driving accordingly. GlobalData’s report on JVCKENWOOD gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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JVCKENWOOD grant share with cybersecurity as a theme is 14% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data generation device, data generation method, and non-transitory storage medium (Patent ID: US20230385425A1)
The patent filed by JVCKENWOOD Corp. describes a data generation device that generates test data groups to test the operation of a communication device following a communication protocol. The device includes a test data group generating unit and a state determining unit that assesses the state of the communication device after receiving the test data group. Based on the determined state, the device generates the next test data group to continue testing the communication device's operation.
The claims associated with the patent detail the specific functions and processes of the data generation device. These include substituting data in test data groups, performing proximity substitution processes, and randomly selecting data for testing based on the convergence of communication device states. Additionally, the patent outlines a data generation method and a non-transitory storage medium storing a computer program that executes the test data group generation process. Overall, the patent focuses on a systematic approach to generating test data groups for evaluating the performance of communication devices according to a communication protocol.
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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.
