Patents by Inventor Saeed Abu-Nimeh

Saeed Abu-Nimeh 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: 20210385236
    Abstract: A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.
    Type: Application
    Filed: August 18, 2021
    Publication date: December 9, 2021
    Inventor: Saeed Abu-Nimeh
  • Patent number: 11122058
    Abstract: A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.
    Type: Grant
    Filed: July 23, 2015
    Date of Patent: September 14, 2021
    Assignee: SECLYTICS, INC.
    Inventor: Saeed Abu-Nimeh
  • Publication number: 20210051160
    Abstract: A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.
    Type: Application
    Filed: July 23, 2015
    Publication date: February 18, 2021
    Inventor: Saeed Abu-Nimeh
  • Publication number: 20170026391
    Abstract: A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.
    Type: Application
    Filed: July 23, 2015
    Publication date: January 26, 2017
    Inventor: Saeed Abu-Nimeh