BlackBerry had 23 patents in artificial intelligence during Q4 2023. BlackBerry Ltd filed patents in Q4 2023 for systems, methods, and software to detect domain name system tunneling, differentiate between benign and malware network data, detect anomalies in source code, and process event log data by converting it into a graph and generating event clusters based on common attributes and hierarchical relationships. GlobalData’s report on BlackBerry gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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BlackBerry grant share with artificial intelligence as a theme is 34% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Domain name system tunneling detection (Patent ID: US20230388322A1)
The patent by BlackBerry Ltd. describes systems, methods, and software for detecting Domain Name System Tunneling (DNST). The method involves receiving DNS requests, using a machine learning model to identify suspicious requests, and then employing a statistical analysis model to determine if these suspicious requests are potentially malicious. The machine learning model analyzes strings and entropy vectors to identify suspicious DNS requests, while the statistical analysis model assesses the uniqueness of subdomains associated with suspicious domains to identify potentially malicious requests.
The patent also includes claims for a computer-implemented system and a non-transitory computer-readable medium that store instructions for executing the method described. The system and medium follow the same process of receiving DNS requests, using machine learning to identify suspicious requests based on entropy vectors, and employing statistical analysis to determine potential maliciousness based on unique subdomains. The use of a support vector machine (SVM) model in the machine learning process is highlighted in the claims, emphasizing the advanced technology used in the detection of potentially malicious DNS requests. Overall, the patent outlines a comprehensive approach to detecting and analyzing suspicious DNS requests to enhance cybersecurity measures.
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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.
