Patents by Inventor Daniel Dalek

Daniel Dalek 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).

  • Graph stream mining pipeline for efficient subgraph detection
    Patent number: 11665196
    Abstract: A graph stream mining processing system and method may be used to analyze the data from a plurality of data streams. In one embodiment, the graph stream mining processing system and method may be used to detect one or more candidate botnet malicious nodes.
    Type: Grant
    Filed: February 14, 2022
    Date of Patent: May 30, 2023
    Inventors: Daniel Dalek, Mattias Harrysson, Himanshu Sinha, Kenji Takahashi
  • Ensemble-based data curation pipeline for efficient label propagation
    Patent number: 11372893
    Abstract: A method and architecture allow labeled data to be initialized and curated by the use of label propagation, clustering and creation of dedicated classifiers for each dataset. These dedicated classifiers are retrained as the dataset grows and ensure that each dataset is kept free from outliers and noise.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: June 28, 2022
    Assignee: NTT SECURITY HOLDINGS CORPORATION
    Inventors: Daniel Dalek, Himanshu Sinha, Josefin Axberg
  • Graph stream mining pipeline for efficient subgraph detection
    Patent number: 11252185
    Abstract: A graph stream mining processing system and method may be used to analyze the data from a plurality of data streams. In one embodiment, the graph stream mining processing system and method may be used to detect one or more candidate botnet malicious nodes.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: February 15, 2022
    Assignee: NTT SECURITY CORPORATION
    Inventors: Daniel Dalek, Mattias Harrysson, Himanshu Sinha, Kenji Takahashi
  • GRAPH STREAM MINING PIPELINE FOR EFFICIENT SUBGRAPH DETECTION
    Publication number: 20200358815
    Abstract: A graph stream mining processing system and method may be used to analyze the data from a plurality of data streams. In one embodiment, the graph stream mining processing system and method may be used to detect one or more candidate botnet malicious nodes.
    Type: Application
    Filed: March 28, 2019
    Publication date: November 12, 2020
    Inventors: Daniel Dalek, Mattias Harrysson, Himanshu Sinha, Kenji Takahashi
  • ENSEMBLE-BASED DATA CURATION PIPELINE FOR EFFICIENT LABEL PROPAGATION
    Publication number: 20190370384
    Abstract: A method and architecture allow labeled data to be initialized and curated by the use of label propagation, clustering and creation of dedicated classifiers for each dataset. These dedicated classifiers are retrained as the dataset grows and ensure that each dataset is kept free from outliers and noise.
    Type: Application
    Filed: June 1, 2018
    Publication date: December 5, 2019
    Inventors: Daniel Dalek, Himanshu Sinha, Josefin Axberg