Thales had eight patents in big data during Q1 2024. Thales SA filed patents in Q1 2024 for a secure data entry system, a method for evaluating prediction algorithm performance, and a digital method for tracing data from multiple sources. The secure data entry system involves entering graphic input patterns as credentials, while the evaluation method assesses prediction algorithm accuracy using machine learning techniques. The digital tracing method merges data from various sources to create a final datum with a detailed merging history. GlobalData’s report on Thales gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Thales grant share with big data as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Apparatus, system and method for secure data entry (Patent ID: US20240095331A1)
The patent filed by Thales SA describes a system and method for secure data entry using graphic input patterns corresponding to alphanumeric characters. The system involves executing a user interface data entry application on a client edge device, receiving data in the form of graphic input patterns, communicating this data to a server, and granting access to a restricted resource if the data is interpreted as a credential by the server's data processing application based on predefined rules and templates. The system allows for various types of graphic input patterns, such as circular pies with selectable slices or layered circle patterns with segments, enabling secure and user-friendly data entry.
The claims associated with the patent detail specific features and functionalities of the secure data entry system. These include receiving random alphanumeric characters for populating graphic input patterns, defining rules for selecting segments or slices within the patterns, setting initial rotation directions and pause timers for character selection, and exchanging data between the client edge device and the server. The method also involves decoding data entries based on user interactions with graphic patterns and establishing secure credentials through matching alphanumeric characters. Overall, the patent outlines a comprehensive system for secure data entry using innovative graphic input patterns to enhance security and user experience in accessing restricted resources.
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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.
