NXP Semiconductors had 49 patents in cybersecurity during Q4 2023. NXP Semiconductors NV filed patents in Q4 2023 related to cryptographic operations, defending against fuzzing analysis, securely updating integrated circuits, point-to-point wireless communication, and a security device with bulk security capacitance for tamper detection. These patents focus on enhancing security and efficiency in data processing systems, device communication, and protection against unauthorized modifications. GlobalData’s report on NXP Semiconductors gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

NXP Semiconductors grant share with cybersecurity as a theme is 48% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Masked decomposition of polynomials for lattice-based cryptography (Patent ID: US20230396436A1)

The patent by NXP Semiconductors NV describes a data processing system that involves a cryptographic operation for lattice-based cryptography. The system includes instructions for a masked decomposition of a polynomial into high and low parts, utilizing arithmetic shares. The process involves performing a rounded Euclidian division, extracting Boolean shares, unmasking the high part, calculating arithmetic shares of the low part, and executing a cryptographic function using the derived parts.

The claims associated with the patent detail specific aspects of the data processing system, such as the method for performing rounded Euclidian division, calculating arithmetic shares, and extracting Boolean shares. The claims also outline variations in the process, including different calculations for obtaining t(·)A, a1(·)B, and a0(·)A or a0(·)B. Overall, the patent focuses on a systematic approach to cryptographic operations involving polynomial decomposition and arithmetic share manipulation for enhanced security in lattice-based cryptography.

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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.