Patents by Inventor Anna Swanson BERTIGER

Anna Swanson BERTIGER 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: 20220377097
    Abstract: Disclosed are systems and methods for temporal link prediction based on (generalized) random dot product graphs (RDPGs), as well as applications of such temporal link prediction to network anomaly detection. In various embodiments, starting from a time series of adjacency matrices characterizing the evolution of the network, spectral embeddings and time-series models are used to predict estimated link probabilities for a future point in time, and the predicted link probabilities are compared against observed links to identify anomalous behavior. In some embodiments, element-wise independent models are used in the prediction to take network dynamics into account at the granularity of individual nodes or edges.
    Type: Application
    Filed: July 20, 2022
    Publication date: November 24, 2022
    Inventors: Anna Swanson BERTIGER, Francesco SANNA PASSINO, Joshua NEIL
  • Patent number: 11418526
    Abstract: Disclosed are systems and methods for temporal link prediction based on (generalized) random dot product graphs (RDPGs), as well as applications of such temporal link prediction to network anomaly detection. In various embodiments, starting from a time series of adjacency matrices characterizing the evolution of the network, spectral embeddings and time-series models are used to predict estimated link probabilities for a future point in time, and the predicted link probabilities are compared against observed links to identify anomalous behavior. In some embodiments, element-wise independent models are used in the prediction to take network dynamics into account at the granularity of individual nodes or edges.
    Type: Grant
    Filed: May 31, 2020
    Date of Patent: August 16, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Anna Swanson Bertiger, Francesco Sanna Passino, Joshua Neil
  • Publication number: 20220224721
    Abstract: In a computer network monitored for security threats, security incidents corresponding to groups of mutually related security alerts may be ranked based on values of a diversity metric computed for each incident from attribute values of an attribute, or multiple attributes, associated with the security alerts. In some embodiments, values of attribute-specific sub-metrics are determined for each incident and combined, e.g., upon conversion to p-values, into respective values of the overall diversity metric. Based on the ranking, an output may be generated. For example, a ranked list of the security incidents (or a subset thereof) may be communicated to a security administrator, and/or may trigger an automated mitigating action.
    Type: Application
    Filed: January 13, 2021
    Publication date: July 14, 2022
    Inventors: Anna Swanson Bertiger, Michael Steven Flowers
  • Publication number: 20210406365
    Abstract: Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for identifying malicious enterprise behaviors within a large enterprise. At a high level, embodiments of the present disclosure identify sub-graphs of behaviors within an enterprise based on probabilistic and deterministic methods. For example, starting with the node or edge having the highest risk score, embodiments of the present disclosure iteratively crawl a list of neighbors associated with the nodes or edges to identify subsets of behaviors within an enterprise that indicate potentially malicious activity based on the risk scores of each connected node and edge. In another example, embodiments select a target node and traverse the connected nodes via edges until a root-cause condition is met. Based on the traversal, a sub-graph is identified indicating a malicious execution path of traversed nodes with associated insights indicating the meaning or activity of the node.
    Type: Application
    Filed: June 30, 2020
    Publication date: December 30, 2021
    Inventors: Joshua Charles Neil, Evan John Argyle, Anna Swanson Bertiger, Lior Granit, Yair Tsarfaty, David Natan Kaplan
  • Publication number: 20210194907
    Abstract: Disclosed are systems and methods for temporal link prediction based on (generalized) random dot product graphs (RDPGs), as well as applications of such temporal link prediction to network anomaly detection. In various embodiments, starting from a time series of adjacency matrices characterizing the evolution of the network, spectral embeddings and time-series models are used to predict estimated link probabilities for a future point in time, and the predicted link probabilities are compared against observed links to identify anomalous behavior. In some embodiments, element-wise independent models are used in the prediction to take network dynamics into account at the granularity of individual nodes or edges.
    Type: Application
    Filed: May 31, 2020
    Publication date: June 24, 2021
    Inventors: Anna Swanson Bertiger, Francesco Sanna Passino, Joshua Neil
  • Publication number: 20190228103
    Abstract: Described herein is a system and method for filtering content of a document (e.g., web page). Based on content of an element of a received document, using a filter a model is applied (e.g., naïve Bayes classifier) to calculate an approximate probability or score that the element comprises non-desired content. Based upon the calculated approximate probability or score, a determination is made that the element comprises non-desired content (e.g., probability greater than or equal to a threshold). An action is taken with respect to the element based upon the determination that the element comprises non-desired content. The action taken with respect to the element can include, for example, removing, blocking out, highlighting, applying an opaque filter and/or colorizing.
    Type: Application
    Filed: January 19, 2018
    Publication date: July 25, 2019
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Adam Edward SHIREY, Anna Swanson BERTIGER, Aaron Joseph MERRILL