Patents by Inventor Mike Imig

Mike Imig 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).

  • Big data k-anonymizing by parallel semantic micro-aggregation
    Patent number: 11615209
    Abstract: Provided is a method for anonymizing datasets having sensitive information, including the steps of determining a dataset of records to be assigned to aggregation clusters; computing an average record of the dataset on the basis of a predefined repetition counter; finding a most distant first record to the average record using a distance measure; finding a most distant second record from the first record using the distance measure; forming a first aggregation cluster around the first record and a second aggregation cluster around the second record; and generating a new dataset by subtracting the first cluster and the second cluster from the previous dataset.
    Type: Grant
    Filed: August 10, 2016
    Date of Patent: March 28, 2023
    Inventors: Andreas Hapfelmeier, Mike Imig, Michael Mock
  • Method and system for anonymising data stocks
    Patent number: 11244073
    Abstract: Provided is a method for anonymising data stocks, including the steps of determining a combination of generalization stages for quasi-identifiers of a data stock at a central node; transmitting the combination of generalization stages to a plurality of sub-nodes; and a parallel performing of an anonymisation of the data stock on the basis of the combination of generalization stages by the sub-nodes.
    Type: Grant
    Filed: November 28, 2016
    Date of Patent: February 8, 2022
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Andreas Hapfelmeier, Mike Imig, Michael Mock
  • METHOD AND SYSTEM FOR ANONYMISING DATA STOCKS
    Publication number: 20200065522
    Abstract: Provided is a method for anonymising data stocks, including the steps of determining a combination of generalization stages for quasi-identifiers pf of a data stock at a central node; transmitting the combination of generalization stages to a plurality of sub-nodes; and a parallel performing of an anonymisation of the data stock on the basis of the combination of generalization stages by the sub-nodes.
    Type: Application
    Filed: November 28, 2016
    Publication date: February 27, 2020
    Inventors: Andreas Hapfelmeier, Mike Imig, Michael Mock
  • Big Data K-Anonymizing by Parallel Semantic Micro-Aggregation
    Publication number: 20190213357
    Abstract: Provided is a method for anonymizing datasets having sensitive information, including the steps of determining a dataset of records to be assigned to aggregation clusters; computing an average record of the dataset on the basis of a predefined repetition counter; finding a most distant first record to the average record using a distance measure; finding a most distant second record from the first record using the distance measure; forming a first aggregation cluster around the first record and a second aggregation cluster around the second record; and generating a new dataset by subtracting the first cluster and the second cluster from the previous dataset.
    Type: Application
    Filed: August 10, 2016
    Publication date: July 11, 2019
    Inventors: Andreas Hapfelmeier, Mike Imig, Michael Mock