Patents by Inventor Omer Zohar

Omer Zohar 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: 20240103125
    Abstract: A system includes at least one processor configured to detect, based on point cloud information, portions of a particular object, and determine, based on the detected portions, at least a first portion having a first reflectivity corresponding to a license plate, and at least two additional spaced-apart portions corresponding to locations on the particular object other than a location of the first portion. The at least two additional portions have reflectivity substantially lower than the first reflectivity. The at least one processor is further configured to classify the particular object as a vehicle, based on a spatial relationship and a reflectivity relationship between the first portion and the at least two additional portions.
    Type: Application
    Filed: November 28, 2023
    Publication date: March 28, 2024
    Applicant: Innoviz Technologies Ltd.
    Inventors: Amit STEINBERG, David ELOOZ, Omer David KEILAF, Oren BUSKILA, Oren ROSENZWEIG, Amir DAY, Guy ZOHAR, Julian VLAIKO, Nir OSIROFF, Ovadya MENADEVA
  • Patent number: 10015193
    Abstract: A device and a method for identifying whether a network node is infected by malware, including identifying indicator events for each of a plurality of anomaly indicators, by counting the number of occurrences of an anomaly indicator in at least one of a network node and an entire network during a predetermined time duration and if the number of occurrences of the anomaly indicator during the predetermined time duration is greater than a predetermined event threshold, identifying an indicator event associated with the anomaly indicator during the predetermined time duration and assigning an expiration duration for the indicator event, determining whether the identified indicator events fulfill at least one predetermined infection rule, and if the indicator events fulfill the at least one predetermined infection rule, identifying the network node as infected by malware.
    Type: Grant
    Filed: December 2, 2015
    Date of Patent: July 3, 2018
    Assignee: TOPSPIN SECURITY LTD
    Inventors: Doron Kolton, Rami Mizrahi, Manor Hemel, Omer Zohar
  • Patent number: 9992225
    Abstract: A system for gathering information about malware and a method of use therefor, the system comprising a working environment including physical working environment servers, physical working environment endpoints, a working environment network, a switch, and a router directing traffic between said working environment network and an external network, a decoy environment including at least one physical machine, a decoy environment server, a decoy environment endpoint, a decoy environment network and a decoy environment router, a file directing mechanism directing at least some files to the decoy environment, and a threat tracking mechanism tracking and observing actions triggered by the files in the decoy environment.
    Type: Grant
    Filed: September 8, 2015
    Date of Patent: June 5, 2018
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai
  • Patent number: 9807115
    Abstract: A system and a method for identifying the presence of ransomware on a network including a plurality of resources, and for trapping the ransomware therein.
    Type: Grant
    Filed: July 18, 2016
    Date of Patent: October 31, 2017
    Assignee: TOPSPIN SECURITY LTD
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai
  • Patent number: 9807114
    Abstract: A system for identifying the presence of advanced persistent threats on a network including a plurality of resources, interconnected to form a network, at least one decoy resource, at least one mini-trap installed on at least one of the plurality of resources and functionally associated with at one of the at least one decoy resource, the at least one mini-trap comprising deceptive information directing malware accessing the at least one mini-trap to the decoy resource associated therewith, and a manager node forming part of the network, locally or remotely, and configured to manage placement of the at least one mini-trap on the at least one of the plurality of resources and association between the at least one mini-trap and the decoy resource associated therewith.
    Type: Grant
    Filed: September 3, 2015
    Date of Patent: October 31, 2017
    Assignee: TOPSPIN SECURTIY LTD
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai
  • Publication number: 20160323316
    Abstract: A system and a method for identifying the presence of ransomware on a network including a plurality of resources, and for trapping the ransomware therein.
    Type: Application
    Filed: July 18, 2016
    Publication date: November 3, 2016
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai
  • Publication number: 20160112440
    Abstract: A device and a method for identifying whether a network node is infected by malware, including identifying indicator events for each of a plurality of anomaly indicators, by counting the number of occurrences of an anomaly indicator in at least one of a network node and an entire network during a predetermined time duration and if the number of occurrences of the anomaly indicator during the predetermined time duration is greater than a predetermined event threshold, identifying an indicator event associated with the anomaly indicator during the predetermined time duration and assigning an expiration duration for the indicator event, determining whether the identified indicator events fulfill at least one predetermined infection rule, and if the indicator events fulfill the at least one predetermined infection rule, identifying the network node as infected by malware.
    Type: Application
    Filed: December 2, 2015
    Publication date: April 21, 2016
    Inventors: Doron KOLTON, Rami MIZRAHI, Manor HEMEL, Omer ZOHAR
  • Publication number: 20160080414
    Abstract: A system for gathering information about malware and a method of use therefor, the system comprising a working environment including physical working environment servers, physical working environment endpoints, a working environment network, a switch, and a router directing traffic between said working environment network and an external network, a decoy environment including at least one physical machine, a decoy environment server, a decoy environment endpoint, a decoy environment network and a decoy environment router, a file directing mechanism directing at least some files to the decoy environment, and a threat tracking mechanism tracking and observing actions triggered by the files in the decoy environment.
    Type: Application
    Filed: September 8, 2015
    Publication date: March 17, 2016
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai
  • Publication number: 20160072838
    Abstract: A system for identifying the presence of advanced persistent threats on a network including a plurality of resources, interconnected to form a network, at least one decoy resource, at least one mini-trap installed on at least one of the plurality of resources and functionally associated with at one of the at least one decoy resource, the at least one mini-trap comprising deceptive information directing malware accessing the at least one mini-trap to the decoy resource associated therewith, and a manager node forming part of the network, locally or remotely, and configured to manage placement of the at least one mini-trap on the at least one of the plurality of resources and association between the at least one mini-trap and the decoy resource associated therewith.
    Type: Application
    Filed: September 3, 2015
    Publication date: March 10, 2016
    Inventors: Doron Kolton, Rami Mizrahi, Omer Zohar, Benny Ben-Rabi, Alex Barbalat, Shlomi Gabai