Patents by Inventor Yonatan Perry

Yonatan Perry 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).

  • Patent number: 11556643
    Abstract: Systems and methods are provided to measure the similarity between a first and second data sample. The method can include creating a plurality of k-mers from the first data sample, each k-mer having a first length; generating a first vector from the plurality of k-mers by processing the plurality of k-mers with a plurality of hash functions; calculating a similarity level between the first and second data sample by comparing the first vector to a second vector, the second vector representing the second data sample; and based on the similarity level, determining a maliciousness level of the first data sample.
    Type: Grant
    Filed: August 18, 2021
    Date of Patent: January 17, 2023
    Assignee: Cybereason Inc.
    Inventors: Yonatan Perry, Assaf Ben-David, Uri Sternfeld
  • Publication number: 20220019664
    Abstract: Systems and methods are provided to measure the similarity between a first and second data sample. The method can include creating a plurality of k-mers from the first data sample, each k-mer having a first length; generating a first vector from the plurality of k-mers by processing the plurality of k-mers with a plurality of hash functions; calculating a similarity level between the first and second data sample by comparing the first vector to a second vector, the second vector representing the second data sample; and based on the similarity level, determining a maliciousness level of the first data sample.
    Type: Application
    Filed: August 18, 2021
    Publication date: January 20, 2022
    Applicant: Cybereason Inc.
    Inventors: Yonatan Perry, Assaf Ben-David, Uri Sternfeld
  • Publication number: 20220019665
    Abstract: Systems and methods are provided to measure the similarity between a first and second data sample. The method can include creating a plurality of k-mers from the first data sample, each k-mer having a first length; generating a first vector from the plurality of k-mers by processing the plurality of k-mers with a plurality of hash functions; calculating a similarity level between the first and second data sample by comparing the first vector to a second vector, the second vector representing the second data sample; and based on the similarity level, determining a maliciousness level of the first data sample.
    Type: Application
    Filed: July 20, 2021
    Publication date: January 20, 2022
    Applicant: Cybereason Inc.
    Inventors: Yonatan Perry, Assaf Ben-David, Uri Sternfeld
  • Publication number: 20210312042
    Abstract: Systems and methods are provided to determine a maliciousness level of an element using a hypergraph of neighbors. The method can include receiving the element; generating a hypergraph of neighbor target elements found in a database, the hypergraph comprising a set of nodes and a set of edges, wherein the set of nodes represents the neighbor target elements, and the set of edges represents connections between the neighbor target elements; classifying nodes and edges in the hypergraph; generating a maliciousness level profile for the element based on aggregation of nodes and edges in the hypergraph; linking information related to the element with the maliciousness level profile for the element; and performing an action based on a type of the element.
    Type: Application
    Filed: April 6, 2021
    Publication date: October 7, 2021
    Applicant: Cybereason Inc.
    Inventors: Assaf Ben-David, Yonatan Perry