NXP Semiconductors had 16 patents in big data during Q4 2023. The patents filed by NXP Semiconductors NV in Q4 2023 relate to data processing systems for cryptographic operations, signing messages using one-time signing keys, masked sampling of polynomials for lattice-based cryptography, a memory controller with error correction code handling, and a model generator for estimating metrics in machine learning systems. These patents focus on improving security, efficiency, and performance in various computing applications. GlobalData’s report on NXP Semiconductors gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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NXP Semiconductors grant share with big data as a theme is 56% 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 in the patent detail the specific steps involved in the cryptographic operation, such as the Euclidian division process, extraction of Boolean shares, unmasking of high part, calculation of arithmetic shares for the low part, and the subsequent cryptographic function execution. The system also includes variations in the calculations based on different parameters like base a, prime modulus q, and power of 2 ?. Overall, the patent outlines a methodical approach to secure cryptographic operations using polynomial decomposition and arithmetic shares for enhanced security in data processing systems.
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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.
