Patents by Inventor Andre FRADE

Andre FRADE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250227029
    Abstract: Systems and methods for anomaly detection in software-defined networks from observed host metrics are disclosed. A method may include: (1) training a random forest model comprising a plurality of trees with historical metrics from a software defined network, the software defined network comprising a plurality of hosts; (2) receiving metrics for a plurality of features from the hosts in the software defined network; (3) providing the metrics to the trained random forest model; (4) receiving, from the trained random forest model, a prediction of an anomalous hosts for one of the hosts; (5) identifying a subset of the plurality of trees that contributed to the prediction; (6) generating feature scores for the feature from the subset of trees; (7) generating an anomaly score for the feature based on the feature scores and an explanation; and (8) executing an automated action in response to the anomaly score.
    Type: Application
    Filed: January 5, 2024
    Publication date: July 10, 2025
    Inventors: Najah GHALYAN, Amal VAIDYA, Mohammed AYUB, Andre FRADE, Sean MORAN