RTX had 44 patents in cybersecurity during Q4 2023.RTX Corp filed patents for methods and systems to detect network intrusions using topological data analysis and hierarchical clustering algorithms. They also patented a system for storing elevator trip information using blockchain technology and a physically unclonable function (PUF) device using quantum dots to generate unique patterns for security applications. GlobalData’s report on RTX gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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RTX grant share with cybersecurity as a theme is 52% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cyberattack detection with topological data (Patent ID: US20230412623A1)
The patent filed by RTX Corp discusses devices, systems, and methods for detecting anomalous or malicious processes based on network flow data. The method involves receiving network flow data, implementing a topological data analysis (TDA) algorithm to identify homological classes, appending the resulting pairs to a feature space, and using a machine learning algorithm to determine if the data is associated with a network intrusion. The claims detail the device's configuration, the types of network intrusions detected, the classifier used, the data included in the network flow data, and additional operations such as feature extraction and data balancing.
The device described in the patent utilizes a topological algorithm to identify (birth, death) pairs in network flow data, appends them to a feature vector, and employs a classifier to detect network intrusions. The classifier can be a clustering classifier, K-means clustering, k-nearest neighbors (k-NN) clustering, or a multilayer perceptron (MLP). The network flow data includes various parameters like IP addresses, timestamps, and protocol information. The method also involves feature extraction, completion of network flow data, and balancing samples of each class. The patent covers a non-transitory machine-readable medium with instructions for network intrusion detection, emphasizing the use of a TDA algorithm, classifier, and clustering algorithm to identify malicious network flow data.
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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.
