Koninklijke Philips had 68 patents in cybersecurity during Q1 2024. The patents filed by Koninklijke Philips NV in Q1 2024 focus on data protection and anonymization methods. One patent describes protecting client data in a computing cloud by transmitting only scrambled data and never storing descrambled data. Another patent involves a system for data anonymization by matching target attributes with a data consumer’s background knowledge. Additionally, there is a patent for authorizing servicing sessions of medical devices based on credentials stored in databases. Lastly, a patent discusses a method for a primary station to distribute encryption keys to multiple secondary stations for secure communication. GlobalData’s report on Koninklijke Philips gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Koninklijke Philips grant share with cybersecurity 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: Privacy-safe-cloud-based computer vision (Patent ID: US20240106629A1)

The patent by Koninklijke Philips NV describes methods and systems for protecting digital client data transmitted to a computing cloud by only sending scrambled data and never storing descrambled data in the cloud. The processing of client data with the cloud involves embedded descrambling, ensuring that descrambled data is never output or stored by the cloud. Various techniques for scrambling data are outlined, including using lookup tables or mathematical functions to map data units to unique locations. Additionally, the system allows for periodic changes in the scrambling technique and the transmission of a scrambling identifier to identify the technique used.

The method and system outlined in the patent involve capturing unscrambled data on the client computing system, scrambling it, and transmitting it to the cloud for processing without storing descrambled data in the cloud. The cloud computing system processes the scrambled data, ensuring that the output does not include descrambled data. The data protection system includes components such as a data scrambler, a processed data receiver, a data processing module in the cloud, and a cloud storage unit. The system allows for descrambling during processing, producing output mapped to unscrambled data, and periodic changes in the scrambling technique. Furthermore, the system enables the transmission of a scrambling identifier with the data to identify the scrambling technique used.

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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.