Patents by Inventor Oner Sufri

Oner Sufri 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).

  • Intrusion management with threat type clustering
    Patent number: 11770409
    Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.
    Type: Grant
    Filed: January 4, 2021
    Date of Patent: September 26, 2023
    Assignee: International Business Machines Corporation
    Inventors: William Wesley Beaver, Oner Sufri, Kevin Potter, Shirley M. Han, Zachary Ryan, Kyle Greeley, ChunHui Y. Higgins, Omar Hammami, Gustavo Adolfo Arismendi Camero, Ryan West, Emilio Fiallos
  • Intrusion Management with Threat Type Clustering
    Publication number: 20220217177
    Abstract: A computer-implemented method, computer system, and computer program product for threat management. A set of features used by a machine learning model is collected by the computer system to determine a threat type for an access attempt when the access attempt is detected. A cluster is determined, by the machine learning model in the computer system, for the access attempt using the set of features, wherein the machine learning model implements clustering to determine the cluster for the access attempt, and wherein the cluster for the access attempt corresponds to the threat type for the access attempt. A set of actions is performed by the machine learning model in the computer system based on the threat type determined for the access attempt.
    Type: Application
    Filed: January 4, 2021
    Publication date: July 7, 2022
    Inventors: William Wesley Beaver, Oner Sufri, Kevin Potter, Shirley M. Han, Zachary Ryan, Kyle Greeley, ChunHui Y. Higgins, Omar Hammami, Gustavo Adolfo Arismendi Camero, Ryan West, Emilio Fiallos