Schneider Electric has patented a method for dynamically generating trust levels for IoT devices. By analyzing characteristics and behavior against expected standards, a security profile is created for trusted devices. This technique ensures secure communication in IoT networks. GlobalData’s report on Schneider Electric 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 Schneider Electric, Fiber-reinforced material joining techniques was a key innovation area identified from patents. Schneider Electric's grant share as of February 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Dynamic trust level generation for iot devices
A recently granted patent (Publication Number: US11924232B2) discloses a method performed by a communication portal to establish and maintain secure communication. The method involves determining characteristics of a device, analyzing these characteristics against expected ones, monitoring runtime behavior, and generating a security profile designating the device as trusted. The method includes monitoring network traffic, validating manufacturing data, and transitioning trust levels based on predefined logic. The system also involves receiving data records, associating trust levels, and taking predefined actions based on the associated trust level.
Furthermore, the patent describes a system and a non-transitory computer-readable medium containing program code that performs operations similar to the method described above. The system includes computer processors and memory containing code to determine device characteristics, analyze them against expected ones, monitor runtime behavior, and generate a security profile. The system also transitions trust levels, receives data records, associates trust levels with data records, and takes predefined actions based on the trust level. The computer-readable medium contains code to execute these operations when operated by computer processors. Overall, the patent aims to enhance secure communication by verifying device characteristics, monitoring behavior, and assigning trust levels based on predefined criteria.
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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.
