BT Group had 29 patents in cybersecurity during Q1 2024. BT Group Plc has filed patents for methods related to algorithm selection based on resource characteristics, identifying anomalous behavior in computer systems, intrusion response systems using knowledge-based and prediction-based components, user authentication with auxiliary authentication factors, and controlling access to restricted resources in extended reality environments based on user characteristics matching profiles in a data store. GlobalData’s report on BT Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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BT Group grant share with cybersecurity as a theme is 34% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Algorithm selection for processor-controlled device (Patent ID: US20240086241A1)
The patent filed by BT Group Plc describes a method for selecting an algorithm from a group of candidate algorithms based on resource characteristics of a processor-controlled device. The method involves obtaining values for the device's resource characteristics, identifying analogous reference devices with similar characteristics, obtaining reference performance values for candidate algorithms on these reference devices, and selecting the algorithm based on these performance values. The algorithm selection process is tailored to the specific resource capabilities of the device, ensuring optimal performance.
Furthermore, the method allows for the consideration of various resource characteristics such as processing capability, storage capability, power source, and communication capability of the device. It also involves obtaining device performance values, applying performance constraints, and calculating score values for each candidate algorithm to aid in the selection process. By utilizing a classifier trained to identify analogous reference devices and considering the importance of different resource characteristics and performance values, the method ensures efficient algorithm selection for optimal application performance. This approach can be implemented in a data processing system or through computer-readable instructions, providing a systematic and effective way to choose the most suitable algorithm for a given device and application scenario.
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