Alibaba Group had 115 patents in cybersecurity during Q4 2023. Alibaba Group Holding Ltd filed patents for a computing accelerator and data processor for homomorphic encryption, allowing computations on input polynomials to generate output polynomials. Another patent involves a system with a CPU and programmable device for processing message headers and forwarding target messages to target nodes. GlobalData’s report on Alibaba Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Alibaba Group grant share with cybersecurity as a theme is 81% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Computing accelerator, data processor and associated method (Patent ID: US20230385061A1)
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The patent application by Alibaba Group Holding Ltd. discloses a computing accelerator, data processor, and method for homomorphic encryption. The computing accelerator is designed to perform computations on input polynomials generated from plaintext data using ring learning with error encryption, resulting in output polynomials after linear computations. The accelerator includes units for polynomial multiplication, coefficient extraction, and ciphertext wrapping to facilitate these operations efficiently. Additionally, the data processor is responsible for converting plaintext data into input polynomials for homomorphic encryption and transmitting them to the computing accelerator for linear computations, with encoding and encryption units ensuring secure data processing.
The claims associated with the patent detail the specific functionalities and configurations of the computing accelerator and data processor. These include performing various types of linear computations such as convolutional, vector dot product, and matrix multiplication, as well as the encryption and decryption processes involved in handling plaintext and ciphertext data. The method outlined in the patent involves receiving input polynomials, multiplying them to generate intermediate polynomials, converting them to target polynomials, and ultimately producing output polynomials for further processing. Overall, the patent application focuses on enhancing the efficiency and security of homomorphic encryption operations through specialized computing and data processing mechanisms.
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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.
