Intel had 252 patents in cybersecurity during Q4 2023. Intel Corp’s Q4 2023 patents focus on techniques for detecting indirect branches in computer program code, cyber attack detection in cellular networks, efficient pooling for hyper converged infrastructure, packet processing with reduced latency, and a new short beacon frame format for wireless communications devices. These patents showcase Intel’s innovation in various technological areas. GlobalData’s report on Intel gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Intel grant share with cybersecurity 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: Control flow integrity to prevent potential leakage of sensitive data to adversaries (Patent ID: US20230418934A1)

The patent filed by Intel Corp. describes a method and system for detecting and handling indirect branches in computer program code. The system detects an indirect branch that calls one of multiple functions using a register, stores an identifier of the branch call in another register, and modifies the code for each function to check if the stored identifier matches the function's identifier and render the register unusable if there is no match. The method involves using conditional branches, XOR operations, and setting register values to predetermined constants based on the comparison results.

Overall, the patent focuses on enhancing security and efficiency in handling indirect branches within computer program code by ensuring that registers are rendered unusable if the function being called does not match the expected identifier. This approach helps prevent unauthorized access or execution of code by malicious actors, thereby improving the overall integrity and reliability of the system. The method can be implemented by a compiler or linker, and the system includes means for detecting indirect branches, storing identifiers, and rendering registers unusable based on comparison results.

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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.